# Senior Data Engineer at Solvd

Senior Data Engineer at Solvd in Pune, India. Hybrid, full-time. Posted October 5, 2026.

- Company: Solvd
- Location: Pune, India
- Workplace: Hybrid
- Job type: Full-time
- Experience: 5+ years
- Posted: 2026-10-05
- Apply: https://jobs.ashbyhq.com/solvd/58d8d941-6f67-4b95-996d-987511237a2c/application
- Source: https://jobmagic.ai/jobs/senior-data-engineer-solvd-79srwc

## Requirements

- 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.

## 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.*