Senior Data Engineer

Responsibilities

• Re-architect ingestion — design and build the replacement for the current endpoint-to-cloud-function-to-streaming-queue-to-ETL-to-warehouse path, moving ingestion natively into each customer's own Snowflake account so the platform's data-sovereignty story is true end to end.
• Migrate legacy ETL logic — translate existing transformation logic covering activity, meeting/event, network context, and system metadata data into Snowflake-native pipelines using the right combination of native transformation tooling and orchestration.
• Design for per-tenant isolation — build data models and pipeline logic that hold up under a cross-account, multi-tenant distribution model, with tenant boundaries addressed explicitly at the schema, pipeline, and secret-management level.
• Work through known technical debt — shared credentials baked into client-side builds, build-time-only configuration with no live tenant provisioning, inconsistent cross-platform data-capture parity — deciding case by case what gets carried forward, redesigned, or retired.
• Rebuild the platform's core data model — activity, event, network, and metadata — preserving the analytics the business depends on while moving underlying storage and processing into Snowflake.
• Validate against real production data patterns — batch sizes, sync frequencies, offline-queue backlogs — captured during discovery to ensure the new pipeline design holds up under realistic load.
• Document migration decisions clearly enough to be defended internally, to downstream customers, and through a formal marketplace review process.

Requirements

• 5+ years as a data engineer with hands-on Snowflake experience — native transformation and orchestration features, not just SQL.
• Real experience migrating an existing production ETL pipeline to a cloud-native target — not a from-scratch build.
• Working knowledge of streaming and event pipelines.
• Comfortable reading and reasoning about a system's security model — encryption at rest and in transit, key management, multi-tenant secret handling — well enough to flag when a proposed design reintroduces a previously identified gap.

Preferred

• Experience building and distributing applications through a cloud data platform's own marketplace or listing model.
• Background in workforce analytics, activity monitoring, or similar behavioral/event data domains — application/window/URL activity, meeting data, network context.
• Exposure to BI tooling migration alongside an underlying data platform move.

Required skills & experience

• Familiarity with a major cloud provider's function/PaaS services, as parts of the migration will need to interoperate with the current production system during transition.
• Experience designing for multi-tenant SaaS data isolation — schema-per-tenant, row-level security, or equivalent patterns.

Preferred qualifications

When you join Solvd, you'll…

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

• If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
• Solvd is an equal opportunity employer.