Solutions Architect (Pre-Sales)
New
B
BlueCloudData & AI Consulting
Remote, US (Northeast preferred)Full-TimeSenior
SalaryCompetitive compensation + commission
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Job Details
- Experience
- 10+ years of experience in solution architecture, data architecture, data engineering, cloud consulting, or related technical leadership roles.
- Required Skills
- AWSPythonSQLGCPSnowflakeAzureSparkdbtGenerative AI
Requirements
- 10+ years of experience in solution architecture, data architecture, data engineering, cloud consulting, or related technical leadership roles.
- 6+ years of experience in alliances, partnerships, channel management, business development, or strategic sales roles within cloud, data, analytics, or technology services environments.
- Deep expertise designing and implementing enterprise data solutions, preferably within the Snowflake ecosystem.
- Strong understanding of modern data architectures, including data warehousing, data lakes, ETL/ELT pipelines, data integration, governance, and analytics platforms.
- Experience architecting solutions on AWS, Azure, or Google Cloud Platform.
- Knowledge of AI, machine learning, generative AI, and modern data-driven application architectures.
- Hands-on experience with technologies such as Snowflake, SQL, Python, dbt, Spark, and cloud-native data services.
- Demonstrated success in customer-facing consulting or pre-sales environments, including solution scoping, executive presentations, and technical proposal development.
- Ability to translate complex technical concepts into clear business outcomes.
- Strong communication, presentation, and stakeholder management skills.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Ability to travel up to 30-40% for customer meetings, workshops, conferences, and industry events.
Responsibilities
- Serve as a trusted advisor to enterprise customers, helping define data, analytics, cloud, and AI strategies that align with business objectives.
- Lead technical discovery sessions, architecture workshops, and solution design engagements with client stakeholders.
- Architect scalable, secure, and high-performing data and AI solutions leveraging Snowflake, cloud platforms, and modern data technologies.
- Partner closely with sales teams to support business development efforts, including client presentations, solution proposals, technical demonstrations, RFP responses, and proof-of-concept engagements.
- Collaborate with advisory, sales, and delivery teams to ensure solution designs are practical and aligned with customer requirements.
- Design enterprise data architectures, including data warehouses, data lakes, data pipelines, governance frameworks, and AI/ML environments.
- Help customers evaluate and adopt Snowflake capabilities, including Cortex, AI applications, data sharing, and governance.
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