About Marseer AI
Marseer AI (www.marseerai.com) is a modular AI activation platform built for DTC and retail e-commerce brands. damStack is Marseer AI's Snowflake-native, dbt-driven data and marketing activation product. It follows a Listen -> Reflect -> React architecture across composable applications, each running inside a customer's own Snowflake data warehouse.
Role Overview
We are looking for a Senior Data Engineer to join the damStack engineering team at Marseer AI. You will design and implement data pipelines, dbt transformation models, and Snowflake-native data products for retail and e-commerce brands. This is a hands-on, high-ownership role across ingestion, transformation, activation workflows, and client onboarding.
What You Will Do
- Design, build, and maintain dbt models across staging, intermediate, and mart layers for customer identity, segmentation, journey orchestration, and activation outputs.
- Implement incremental dbt models, snapshots, and tests to ensure data freshness, accuracy, and reliability.
- Contribute to damStack's Open Schema and unified customer_360 semantic layer.
- Build and refine SQL-based rule engines in Snowflake for priority resolution, frequency capping, and activation orchestration.
- Configure and manage Airbyte connectors for bidirectional data sync such as MongoDB to Snowflake and Snowflake to Klaviyo.
- Build and maintain Dagster pipelines to orchestrate dbt runs, Airbyte sync jobs, and cross-pipeline dependencies.
- Support integration of external marketing platforms into the damStack data layer.
- Work directly with client brands to understand data sources, schemas, and business requirements.
- Translate client data into damStack's standardized activity schema and entity resolution framework.
- Troubleshoot data quality and integration issues in client environments.
- Contribute to single-tenant Snowflake deployments, data quality tests, monitors, alerting, and technical design documentation.
Requirements
- 5+ years of professional experience in data engineering.
- Advanced proficiency in dbt Core or Cloud, including incremental models, snapshots, tests, macros, and multi-layer DAG design.
- Strong hands-on Snowflake experience, including DDL/DML, Snowflake Tasks, query optimization, and multi-tenant data architecture.
- Expert-level SQL, including window functions, CTEs, complex joins, and performance tuning.
- Ability to communicate pipeline designs and technical decisions clearly to technical and non-technical stakeholders.
Strongly Preferred
- Experience with Airbyte or comparable ELT / connector platforms.
- Familiarity with Dagster or similar orchestration tools such as Airflow or Prefect.
- Prior experience in a SaaS or data product company shipping reusable, multi-tenant data infrastructure.
- Understanding of identity resolution patterns, surrogate key architectures, customer data platforms, or experimentation / A/B testing data pipelines.
Good to Have
- Familiarity with Klaviyo or other marketing activation / ESP platforms.
- Experience with MongoDB or document-store integrations.
- Prior experience in retail or e-commerce data domains.
What We Are Looking For
- Availability for US business hours, with at least 5 hours of overlap with America/New_York.
- Ownership mindset, attention to schema naming, test coverage, documentation, and reliable pipelines.
- Collaborative, structured communication with a distributed team.
What We Offer
- Compensation range: INR 20-30 LPA.
- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.
- High-ownership engineering work on Snowflake, dbt, Airbyte, and Dagster.
- Direct exposure to real DTC and retail e-commerce data problems at scale.
- A small, senior team where your contributions are visible.

About Marseer Ai
About
Marseer AI deploys AI agents across email, paid social, SEO, affiliate, and creator marketing—so lean DTC teams can execute with enterprise-level sophistication.
Candid answers by the company
Fully remote, India based. Hyderabad Candidates preferred.
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