phData

👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation Services Analytics Information Technology💼 Private Company

phData is a leading provider of end-to-end services for machine learning and data analytics, partnering with major cloud data platforms like Snowflake, AWS, Azure, and GCP to deliver cutting-edge solutions for global enterprises. We help organizations overcome their toughest data challenges by offering expertise in data engineering, data science consulting, and managed services. Our award-winning, remote-first culture fosters a community of technological curiosity, ownership, and trust, attracting top talent from the US, Latin America, and India. Our technical expertise spans a wide range of technologies, including Snowflake, AWS, Azure, Databricks, Spark, and various data integration tools. We prioritize a modern data stack approach and invest heavily in employee development, boasting over 600 expert cloud certifications across platforms like AWS, Azure, and Dataiku. This commitment to continuous learning and innovation allows us to deliver high-quality, scalable solutions for our clients. We're proud to be recognized as a 5x Snowflake Partner of the Year and a leading partner for other platforms like Fivetran and dbt. phData values a collaborative, autonomous work environment that empowers employees to take ownership and deliver results. We offer competitive compensation and benefits, including generous PTO and a casual atmosphere. We're a rapidly growing company with a proven track record of success, continuously expanding our service offerings and global reach. We actively celebrate diversity and are committed to fostering an inclusive workplace where every team member feels valued and respected. With a strong emphasis on innovation and employee growth, we maintain a high-performance environment within a small-business culture. We actively seek individuals who are passionate about data, technology, and collaborative problem-solving. Our focus on partnership with both clients and key technology providers drives exceptional value in a constantly evolving data landscape.

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Jobs at this company:

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🔥 Client Account Lead - Restaurant & Food Services

Posted 5 days ago

📍 United States, Latin America, India

🔍 Restaurant & Food Services

🔧 Requirements

10+ years of consulting experience in your vertical (deep in-house industry experience will be considered in lieu of consulting).
Proven success owning and growing a $10M–$15M+ portfolio.
Strong domain knowledge in Restaurant & Food Services with the ability to engage in meaningful business and technology discussions—not just sell services.
A track record of building and sustaining executive relationships across client organizations.
Credibility built on tenure and success—you've had at least one long, high-impact role and can speak to measurable results.
Experience navigating matrixed environments and influencing cross-functional teams.

💡 Responsibilities

Serve as the overall leader for a portfolio of key accounts within your vertical, developing and executing growth plans that align with client goals and phData’s capabilities.
Deliver $10M–$15M+ in annual bookings with a focus on long-term value and account expansion.
Cultivate trusted advisor status with CxOs and senior business leaders; lead strategic discussions across business and IT stakeholders.
Ensure successful delivery and high client satisfaction across all engagements; collaborate with delivery, operations, and finance on performance metrics.
Represent phData at industry events, conferences, and panels, helping grow our presence and reputation within your vertical.
Identify co-sell opportunities with key alliance partners to deepen relationships and accelerate growth.
Collaborate with delivery, operations, finance, and Go-to-Market teams to review metrics, implement strategic business plans, and expand partnerships.

LeadershipCloud ComputingSnowflakeStrategyCommunication SkillsPresentation skillsWritten communicationInterpersonal skillsExcellent communication skillsRelationship buildingAccount ManagementNegotiation skillsClient relationship managementBudgetingCross-functional collaborationSales experienceStrategic thinkingFinancial analysisData analytics

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🔥 Client Account Lead - Pharma & Life Sciences

Posted 5 days ago

📍 United States, Latin America, India

🔍 Pharma / Life Sciences

🔧 Requirements

10+ years of consulting experience in your vertical (deep in-house industry experience will be considered in lieu of consulting).
Proven success owning and growing a $10M–$15M+ portfolio.
Strong domain knowledge in Pharma / Life Sciences with the ability to engage in meaningful business and technology discussions—not just sell services.
A track record of building and sustaining executive relationships across client organizations.
Credibility built on tenure and success—you've had at least one long, high-impact role and can speak to measurable results.
Experience navigating matrixed environments and influencing cross-functional teams.

💡 Responsibilities

Own the Account Strategy: Serve as the overall leader for a portfolio of key accounts within your vertical, developing and executing growth plans that align with client goals and phData’s capabilities.
Drive Revenue & Profitability: Deliver $10M–$15M+ in annual bookings with a focus on long-term value and account expansion.
Build Executive Relationships: Cultivate trusted advisor status with CxOs and senior business leaders; lead strategic discussions across business and IT stakeholders.
Champion Client Success: Ensure successful delivery and high client satisfaction across all engagements; collaborate with delivery, operations, and finance on performance metrics.
Elevate Our Brand: Represent phData at industry events, conferences, and panels, helping grow our presence and reputation within your vertical.
Leverage Partnerships: Identify co-sell opportunities with key alliance partners to deepen relationships and accelerate growth.
Drive Account Performance and Growth: Collaborate with delivery, operations, finance, and Go-to-Market teams to review metrics, implement strategic business plans, and expand partnerships.

LeadershipBusiness IntelligenceSnowflakeCross-functional Team LeadershipCustomer serviceNegotiationRelationship buildingAccount ManagementClient relationship managementSales experienceStrategic thinkingData analytics

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🔥 Solutions Architect (Managed Services)

Posted 9 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

10 years of hands-on experience of architecting, designing, implementing, and managing cloud-native data platforms and solutions.
Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation.
Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting.
Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
Build and manage scalable, secure data platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance.
Advanced proficiency in Microsoft SQL, including writing, debugging, and optimizing queries.
Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub).
Expertise with tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.

💡 Responsibilities

Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
Guide technical teams through data migration, integration, and performance optimization.
Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities.
Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems.
Setting up a client's data platform with industry best practices & robust security standards including Data Governance.
Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed.
Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms.
Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI.
Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals.
Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction.
Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.

AWSPythonSQLBashCloud ComputingGitKafkaKubernetesSnowflakeAzureCI/CDRESTful APIsDevOpsTerraformTroubleshooting

Posted 9 days ago

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🔥 Solutions Architect

Posted 9 days ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

10+ years as a hands-on Solutions Architect and/or Data Engineer designing and implementing data solutions
Programming expertise in Java, Python and/or Scala
Experience with Snowflake, Spark, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience

💡 Responsibilities

Design and implement data solutions
Ensure performance, security, scalability, and robust data integration
Team lead, and/or mentorship of other engineers
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSQLCloud ComputingGCPHadoopJavaSnowflakeAzureData engineeringSparkCommunication SkillsScalaData modeling

Posted 9 days ago

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🔥 Machine Learning Principal Solutions Architect

Posted 9 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions
3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth
4-year Bachelor's degree in Computer Science or a related field
Experience deploying machine learning models in a production setting
Proven track record of account expansion, pre-sales, and proposal development
Experience leading cross-functional teams of engineers, data scientists, and architects
Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
Expertise in Python, Scala, Java, or another modern programming language
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Development of APIs and web server applications (e.g. Flask, Django, Spring)
Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
Excellent communication and interpersonal skills, with the ability to navigate complex client relationships

💡 Responsibilities

Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals
Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations
Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders
Mentor team members on best practices in AI/ML architecture, modeling, and technology.
Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.
Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives.
Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward
Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value.
Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.

AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLCloud ComputingDjangoFlaskFrontend DevelopmentGCPHadoopJavaKerasKubernetesMachine LearningMLFlowNumpySoftware ArchitectureSpringAPI testingAzureData scienceSparkTensorflowCommunication SkillsCI/CDAgile methodologiesRESTful APIsDevOpsAccount ManagementClient relationship managementSales experienceScalaTeam managementData modeling

Posted 9 days ago

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🔥 Lead Data Engineer

Posted 9 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

8+ years as a hands-on Data Engineer designing and implementing data solutions
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
4-year Bachelor's degree in Computer Science or a related field

💡 Responsibilities

Designing and implementing data solutions
Team lead, and/or mentorship of other engineers
Develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSoftware DevelopmentSQLCloud ComputingETLGCPJavaKafkaSnowflakeAirflowAzureData engineeringSparkCommunication SkillsMentoringClient relationship managementScalaData visualizationData modeling

Posted 9 days ago

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🔥 Business Architect

Posted 9 days ago

📍 United States, Latin America, India

🔍 Data and Analytics

🔧 Requirements

5+ years of experience in business analysis or product development, within the Data and Analytics industry
Understanding of data management, analytics, and AI technologies
Proven experience developing data strategies that align with enterprise vision and business goals
Ability to translate complex data concepts into business language.
Direct client-facing experience in a consulting or professional services organization.
Proven experience in designing and implementing business solutions.
Excellent communication and stakeholder management skills.
Ability to work independently and as part of a team.
Project management and leadership.
Strong analytical and problem-solving skills
Strong presentation and storytelling abilities.
Experience facilitating workshops and interviews with business and technical teams.

💡 Responsibilities

Collaborate with clients to understand their business needs and objectives
Gather inputs from clients to understand where they are today, their vision for leveraging data, analytics, and AI, and extract themes to underpin recommendations
Design and develop business architectures that align with clients' strategic goals
Identify opportunities for leveraging data and AI to improve business processes and outcomes
Collaborate with technical teams to ensure the successful implementation of solutions
Conduct gap analysis and recommend improvements to existing business processes, including Data Governance
Recommend and design a future state Data Governance Program, focused on the operational and functional aspects
Lead workshops and meetings to align stakeholders on project goals and deliverables
Create detailed documentation, including business capability maps, process flows, and solution blueprints
Develop and deliver presentations to senior executives and stakeholders
Establish and grow customer relationships
Bridge the gap between business strategy and technology implementation, ensuring that engineering efforts align with business needs
Drive project team outcomes by ensuring alignment between business objectives, solution implementation, and measurable success metrics

AWSProject ManagementSQLBusiness AnalysisBusiness IntelligenceCloud ComputingData AnalysisETLGCPSnowflakeAzureRESTful APIsPresentation skillsExcellent communication skillsData visualizationStakeholder managementStrategic thinkingData modelingData analyticsData managementChange Management

Posted 9 days ago

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🔥 Solution Owner

Posted 11 days ago

📍 United States

🔍 Software Development

🔧 Requirements

Bachelor’s degree in Business, Information Technology, or related field. Master’s degree preferred
Track record in product management, consulting or advisory roles focused on data platforms and products
Experience building and guiding diverse technical and non-technical teams
Experience with modern data platforms, tools, and complementary capabilities
Proficient in analytics tools, with a strong understanding of data modeling techniques, semantic modeling, and modern AI applications to business problems

💡 Responsibilities

Support the development and refinement of strategic roadmaps for client data platforms and products
Identify opportunities for innovation within client data ecosystems
Collaborate with clients to understand and prioritize their data needs
Create data solutions that deliver measurable value and ROI for clients and their customers
Cultivate trusted advisor relationships with key client stakeholders and leaders
Apply agile methodologies for data platform and product development
Establish and operationalize Business, Customer, Product and Team KPIs and success metrics
Coordinate resources, timelines, and deliverables both with the client and internally
Lead the design and conceptualization of innovative solutions that address client needs
Oversee the implementation of solutions, ensuring projects are delivered on time, within scope, and within budget
Ensure the quality and integrity of solutions by performing thorough testing, validation, and feedback collection
Support the business development team in identifying new opportunities and contributing to proposal development
Stay abreast of industry trends, emerging technologies, and best practices

AWSLeadershipProject ManagementSQLAgileBusiness AnalysisBusiness IntelligenceCloud ComputingETLGCPProduct ManagementSnowflakeCross-functional Team LeadershipProduct DevelopmentAzureData scienceStrategic ManagementCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsMentoringClient relationship managementData visualizationStakeholder managementData modelingData analyticsData managementChange Management

Posted 11 days ago

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🔥 Principal Data and AI Strategy

Posted 22 days ago

📍 United States, Latin America, India

🔍 Data and AI Strategy

🔧 Requirements

8+ years as a hands-on Data and AI Strategy Leader who has led Data Strategy engagements.
4+ years previous Consulting leadership experience working with external clients, with the ability to multitask, prioritize tasks, and work across a variety of projects.
Understands the evolving AI capabilities in the industry, including their applications and how to leverage them effectively to help clients increase revenue, improve customer experience, or introduce new products to the market.
Experience engaging senior stakeholders, including members of the C-suite.
Knowledge of global privacy requirements, e.g. GDPR, CCPA.

💡 Responsibilities

Advising clients on how to utilize data and AI to drive business transformation and competitive advantage.
Create data and AI strategies aligned to client goals.
Design implementation roadmaps.
Guide organizations through adoption of advanced data platforms, machine learning solutions, and responsible AI practices.
Help build and expand the Advisory practice by developing offerings, cultivating client relationships, and mentoring high-performing teams in a rapidly evolving market

AWSProject ManagementSQLArtificial IntelligenceBusiness AnalysisBusiness IntelligenceCloud ComputingData AnalysisETLGCPMachine LearningSnowflakeCross-functional Team LeadershipAzureData engineeringREST APIStrategic ManagementCommunication SkillsAgile methodologiesMentoringPresentation skillsWritten communicationVerbal communicationData visualizationStakeholder managementData modelingData management

Posted 22 days ago

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🔥 Machine Learning Principal Solutions Architect

Posted 22 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions
3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth
4-year Bachelor's degree in Computer Science or a related field
Experience deploying machine learning models in a production setting
Proven track record of account expansion, pre-sales, and proposal development
Experience leading cross-functional teams of engineers, data scientists, and architects
Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
Expertise in Python, Scala, Java, or another modern programming language
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Development of APIs and web server applications (e.g. Flask, Django, Spring)
Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
Excellent communication and interpersonal skills, with the ability to navigate complex client relationships

💡 Responsibilities

Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals
Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations
Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders
Mentor team members on best practices in AI/ML architecture, modeling, and technology.
Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.
Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives.
Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward
Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value.
Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.

AWSDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLGCPJavaKubernetesMachine LearningAPI testingAzureData engineeringData scienceCommunication SkillsAccount ManagementScalaSoftware Engineering

Posted 22 days ago

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