Senior Data Engineer Damstack

## About the role 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. ## Responsibilities - 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.