Senior Data Engineer

Job description

*Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across **cloud, data, software engineering, and artificial intelligence**. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.* *Following the acquisition of **Tooploox**, a premier AI and product development company, Solvd now offers true **end-to-end delivery**—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.* We are looking for a **Senior Data Engineer** to join a team migrating a production SaaS data platform off a legacy ETL/streaming-based pipeline and onto a Snowflake Native Application built for self-serve distribution and per-tenant data isolation. This isn't a greenfield build — it's a migration with real legacy constraints. You'll be working from an existing production system that has already been audited in detail, and turning those findings into a working Snowflake-native data platform. You should be comfortable reading someone else's architecture, spotting where it breaks down at scale or under multi-tenant isolation requirements, and redesigning around it. ## **What you'll do** - 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. ## **Required skills & experience** - 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. - 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** - 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. **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.*