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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon