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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🔥 Senior Analytics Consultant (Looker)

Posted 4 days ago

📍 United States, Latin America, India

🔍 Data Analytics

🔧 Requirements

3+ years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms in an enterprise environment
Strong data visualization skills using Looker, including LookML development, dashboard creation, and advanced visualization techniques.
Knowledge of related tools and technologies, such as Sigma, Tableau, Power BI, Omni, or dbt.
Data preparation experience using Alteryx or KNIME (or similar tools like Matillion, Dataiku, or Coalesce is a plus)
Demonstrated expertise in data fluency and communicating to business users
Knowledge of SQL experience leveraging data warehouse, data marts, and/or data models
Exceptional customer facing skills, including outstanding communication skills and project management skills
Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures

💡 Responsibilities

Deliver on project-based consulting engagements; help clients develop analytical requirements through prototyping and visualization
Manage clients' expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions
Create reporting and data visualization solutions
Analyze, troubleshoot, and/or tune product performance or deployment issues when required
Support or assist with backlog support and development
Identify and recommend functionality and solutions to meet and enhance user requirements
Recommend best practices to optimize data models, reports, and overall platform architecture

Project ManagementSQLCloud ComputingData AnalysisSnowflakeTableauData scienceCommunication SkillsAnalytical SkillsProblem SolvingCustomer serviceData visualizationData modelingData analyticsData management

Posted 4 days ago

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🔥 Sr. Data Engineer (GC25001)

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 150363.0 - 180870.0 USD per year

🔍 Software Development

🔧 Requirements

At least a Bachelors Degree or foreign equivalent in Computer Science, Computer Engineering, Electrical and Electronics Engineering, or a closely related technical field, and at least five (5) years of post-bachelor’s, progressive experience writing shell scripts; validating data; and engaging in data wrangling.
Experience must include at least three (3) years of experience debugging data; transforming data into Microsoft SQL server; developing processes to import data into HDFS using Sqoop; and using Java, UNIX Shell Scripts, and Python.
Experience must also include at least one (1) year of experience developing Hive scripts for data transformation on data lake projects; converting Hive scripts to Pyspark applications; automating in Hadoop; and implementing CI/CD pipelines.

💡 Responsibilities

Design, develop, test, and implement Big Data technical solutions.
Recommend the right technologies and solutions for a given use case, from the application layer to infrastructure.
Lead the delivery of compiling and installing database systems, integrating data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures.
Drive solution architecture and perform deployments of data pipelines and applications.
Author DDL and DML SQL spanning technical tacks.
Develop data transformation code and highly complex provisioning pipelines.
Ingest data from relational databases.
Execute automation strategy.

AWSPythonSQLETLHadoopJavaKafkaSnowflakeData engineeringSparkCI/CDLinuxScala

Posted 7 days ago

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🔥 Solutions Architect (Pre-Sales)

Posted 13 days ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of Solutions Architect & Data Engineer with experience in architecting, building, and supporting modern Data Platforms
Experience establishing and growing accounts, including building trusted customer relationships, cross-selling services, and building business case proposals
Proven experience with data migration in large enterprise production environments
Prior experience in technical presales with proven strong technical skills, business acumen with a sales mindset
Expertise in core data engineering technologies such as Snowflake, AWS, Azure, or Databricks
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries

💡 Responsibilities

Own the technical sales process from introductory meetings (net new sales) through post-sales (customer success and further customer expansion)
Clearly communicating phData’s Managed Services (MS), Data Engineering (DE), and Machine Learning Engineering (MLE) services to existing and potential customers
Ensure overall customer success across phData offerings
Help establish and grow our customer relationships
Deliver on pre-sales proof of concepts or short paid engagements
Grow phData’s influence and public presence at conferences, meetups, speaking events, etc.
Collaborate with account executive and delivery owner on Statement of Work (SOW) deliverables
Customer relationship management, including project escalations and post-sales support

AWSLeadershipProject ManagementSQLCloud ComputingGCPSnowflakeAzureData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingCustomer serviceExcellent communication skillsAccount ManagementSales experienceData visualizationStakeholder managementData modeling

Posted 13 days ago

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🔥 Data Engineering Future Opportunites

Posted about 1 month ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

5+ years as a hands-on Data Engineer, Software Engineer or Solutions Architect
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
Detailed solution documentation

💡 Responsibilities

Design and implement data solutions
Client-facing written and verbal communication

AWSPythonSQLCloud ComputingETLGCPJavaSnowflakeAzureData engineeringSparkClient relationship managementScalaData modeling

Posted about 1 month ago

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🔥 Future Opportunity - Sr Data Scientists Apply Here!

Posted about 1 month ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

3-5+ years hands-on experience in building models and developing algorithms for real-world applications and data-driven optimizations
Depth of knowledge in advanced mathematics, machine learning, and statistics
Strong computer science fundamentals: data structures, algorithms, distributed systems
Mastery of one or more data analysis languages such as R, Python, PySpark, and SQL
Experience with data science tools including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, bash scripting
Experience with XGBoost, Facebook Prophet, Random Forests, and other major data science algorithms and packages

💡 Responsibilities

Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications to inform model design and implementation
Conduct data manipulation required for model pre- and post-processing (preparing the data)
Author articulate reports, visualizations, and presentations to communicate your process and results to stakeholders with varying levels of technical understanding
Engage with interdisciplinary development teams, such as data engineers and machine learning engineers, to leverage MLOPs frameworks to support the longevity of models (work across functional teams)
Proactively and independently engage with customers and take ownership for building models and implementing data science best practices unique to each project
Drive thought leadership in the data science community by actively contributing to open source projects, sharing insights through engaging talks, and advancing global data science practices

AWSPythonSQLBashData AnalysisMachine LearningNumpyAlgorithmsAzureData Structures

Posted about 1 month ago

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🔥 Future Opportunity - Power BI Consultants Apply Here!

Posted about 1 month ago

📍 United States, Latin America, India

🔍 Data Analytics

🔧 Requirements

2+ years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms in an enterprise environment
Expert data visualization skills using Power BI
Expertise in data preparation experience using Alteryx or KNIME
Demonstrated expertise in data fluency and communicating to business users
Expertise in SQL experience leveraging data warehouse, data marts, and/or data models in Snowflake environment preferred
Exceptional customer facing skills, including outstanding communication skills and project management skills
Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures

💡 Responsibilities

Deliver on project-based consulting engagements; help clients develop analytical requirements through prototyping and visualization.
Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions
Create reporting and data visualization solutions
Analyze, troubleshoot and / or tune product performance or deployment issues when required
Support or assist with backlog support and development
Identify and recommend functionality and solutions to meet and enhance user requirements
Recommend best practices to optimize data models, reports, and overall platform architecture

SQLETLSnowflakeData visualizationData modeling

Posted about 1 month ago

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🔥 Solutions Architect (Managed Services)

Posted about 1 month ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Cloud Data Platforms

🔧 Requirements

10-14 years of Solutions Architecture experience
Expertise with AWS or Azure
Production support experience in enterprise environments
Strong knowledge of SQL
Experience with cloud-native data storage technologies
Client-facing communication skills

💡 Responsibilities

Operate and manage modern data platforms
Demonstrate ownership of multiple customer accounts as a technical leader
Proactively identify best practices and improvements
Build Epics, Stories, and Tasks for customer platforms
Provide thought leadership on technologies and approaches
Hunt for ways to automate and optimize processes

AWSSQLKafkaSnowflakeAirflowAzureData engineeringSparkCI/CDTerraform

Posted about 1 month ago

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🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
4-year Bachelor's degree in Computer Engineering or a related field
Experience deploying data science models in a production setting
Expertise in Python, Scala, Java, or another modern programming language
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Experience with Docker, Kubernetes, or some other containerization technology
Familiarity with multiple data source systems (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), storage systems (e.g., AWS, Databricks, Cloudera)
Production experience in core data technologies (e.g. Spark, Pandas)
Development of APIs and web server applications (e.g. Flask, Django, Spring)

💡 Responsibilities

Design and create environments for data scientists to build models and manipulate data
Work within customer systems to extract data and place it within an analytical environment
Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product

AWSDockerPythonSQLCloud ComputingDjangoETLFlaskGCPJavaKerasKubernetesMachine LearningSnowflakeAPI testingAzureData engineeringData scienceREST APISparkTensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingScalaData visualizationData modelingData analyticsData management

Posted about 1 month ago

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🔥 Solutions Architect

Posted about 2 months ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

6+ years as a hands-on Solutions Architect and/or 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

💡 Responsibilities

Design and implement 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.

AWSLeadershipProject ManagementPythonSQLCloud ComputingETLGCPJavaKafkaSnowflakeSoftware ArchitectureAlgorithmsAzureData engineeringSparkCommunication SkillsRESTful APIsMentoringPresentation skillsScalaData visualizationData modelingData management

Posted about 2 months ago

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🔥 Territory Director - Retail (CPG)

Posted 3 months ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Data Services and Solutions

🔧 Requirements

5+ years of B2B sales experience in technology services.
Experience co-selling with technology partners such as Snowflake, Azure, AWS.
Strong verbal, written, and presentation skills.
Ability to craft proposals, SOWs, and negotiate contracts and pricing.
Enthusiasm for working in a fast-paced, high-growth environment.
Ability to work cross-functionally and inclusively.
Natural curiosity about customers and their businesses.
Proven track record of sourcing and closing $250K+ deals.
Ability to travel up to 50%.

💡 Responsibilities

Exceed quarterly/annual sales targets in Data Engineering, Managed Services, Machine Learning, and Analytics.
Co-sell with Snowflake, AWS, and other partners to promote data and AI engineering services.
Drive lead generation through various methods including cold calls and regional events.
Collaborate with team members to present solutions to clients.
Maintain accountability for phData's brand and customer successes in the region.
Identify key stakeholders and manage complex organizational structures.
Accurately manage sales pipeline and forecasts.
Engage in continuous training for personal and company development.

AWSCloud ComputingETLMachine LearningSnowflakeAzureData engineering

Posted 3 months ago

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