Senior Data Engineer

solvd; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Solvd Inc. is seeking a Senior Data Engineer to migrate a production SaaS data platform to a Snowflake-native architecture. You will re-architect ingestion, migrate ETL logic, and design per-tenant isolation while safeguarding data security and governance.

This role demands experience with cloud-native data pipelines and cross-tenant architectures. You will work on a legacy-to-Snowflake migration, validating against realistic production patterns and collaborating across teams to ensure a

Qualifications

• Minimum 5+ years as a data engineer with hands-on Snowflake experience.
• Experience migrating production ETL pipelines to cloud-native targets.
• Working knowledge of streaming and event pipelines.
• Familiarity with encryption at rest/in transit and multi-tenant secret handling.

Responsibilities

• Re-architect ingestion by moving ingestion into each customer’s Snowflake account.
• Migrate legacy ETL logic to Snowflake-native pipelines.
• Design data models and pipelines for per-tenant isolation with explicit boundaries.
• Address technical debt and iterate on secure, scalable solutions.
• Redesign core data model to preserve analytics while moving storage/processing to Snowflake.
• Validate design with real production patterns and document migration decisions.

Skills

Data pipelines

ETL processes

Data modeling

Cloud fluency

Security & encryption

Multi-tenant security

Tools

Snowflake

Airflow

Cloud services

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.

Solvd is an equal opportunity employer.