Own end to end solution architecture for connecting source systems to the enterprise analytics platform and delivering governed, performant, reusable data products for analytics and machine learning use cases
Define reference architectures and implementation patterns for Snowflake based solutions, including storage integration and stages, networking connectivity, key management, secure sharing, replication and disaster recovery approaches, and workload and warehouse strategy
Establish security on the platform including role-based access models, masking approaches, row level controls, and auditable access and usage practices, partnering with the data governance team for classification and policy inputs
Define ingestion and integration blueprints for batch, change data capture, and event driven pipelines, including guidance for when to use streaming patterns for low latency data movement
Set standards for contract first data products including semantics, versioning rules, reliability expectations, and clear consumption patterns for BI, analytics, and ML use cases, partnering with governance teams on catalog and stewardship processes
Build performance and reliability playbooks including workload isolation, concurrency patterns, sizing strategies, cost guardrails, and operational runbooks teams can execute
Establish and promote architectural standards, best practices, and review mechanisms while mentoring and coaching technology team members to ensure consistent adoption
Collaborate with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives and can be delivered incrementally
Evaluate enabling tools and approaches for pipelines, quality, observability, and automation, and build business cases that influence direction
Guide engineering teams through solution design and implementation, improving long term scalability, performance, data quality, and cost efficiency

Requirements

Strong, hands-on Snowflake experience, with the ability to define practical platform patterns and guide teams through implementation and operations
Working knowledge of Snowflake capabilities such as warehouses and workload management, cost controls, secure sharing, Tasks and Streams, and platform security controls
Deep experience delivering enterprise analytics and data platform solutions, typically gained through about 5 to 12 years in a data specialty such as engineering, platforms, or analytics, with 2+ years leading end to end solution design for complex initiatives
Strong understanding of modern data platform architecture including ingestion, transformation, modeling, consumption patterns, and operational readiness for analytics and ML workloads
Strong SQL capability including performance tuning fundamentals, plus proficiency in Python or a comparable language used for data engineering and automation
Practical experience addressing cross-cutting concerns including security, privacy, resiliency, scalability, observability, and cost optimization in cloud data platforms
Proven ability to drive alignment through influence by facilitating architecture reviews, documenting decisions and tradeoffs, and mentoring engineers and architects
Ownership mindset and strong work ethic with the ability to take ambiguous problems, create structure, and deliver outcomes with minimal oversight
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent practical experience

Benefits

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SnowflakeSQLPythondata engineeringdata integrationdata modelingperformance tuningdata qualitycloud data platformsmachine learning

Soft skills

mentoringcollaborationinfluenceownership mindsetproblem-solvingcommunicationleadershipcoachingorganizational skillsstrategic thinking