Senior Data Engineer architecting Azure and Databricks data platforms for TTEC Digital’s client experience solutions. Building governed pipelines, APIs, MCP integrations, and agentic AI data services.
About the role
- Senior Data Engineer owning Databricks lakes, pipelines, and AI data infrastructure. Building Quandri’s AI operating system for insurance agencies and brokerages.
Responsibilities
- Own the Databricks data lake end to end, including dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, and quality monitoring
- Stand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, handling idempotency and deduplication
- Own data services, schema and migration strategy, versioned APIs, provenance and audit trails, tests, and observability
- Build AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, and LLM observability
- Develop and maintain cloud databases with the Infrastructure team
- Improve data retrieval and optimize analytics dashboards
- Maintain data management and security policies
- Collaborate with software, AI/ML, and data engineers, data scientists, product, and business units to align requirements
- Communicate technical concepts clearly to non-technical stakeholders
- Guide and mentor engineers in data best practices
Requirements
- At least 4 to 6 years of professional data engineering experience
- Demonstrated experience owning the maintenance and implementation of databases, data pipelines and backends, with a focus on efficient data management and integration of system components
- Proficiency in Python (preferred) and SQL
- Experience designing multi-tenant data systems with hard isolation requirements and handling PII or other regulated data
- Proficiency in data modeling, medallion architecture, star schema, or Snowflake schema
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP
- Experience with dbt, Databricks Workflows, Apache Airflow, Prefect, Dagster or equivalent, change-data-capture tooling, or AWS Step Functions
- Proficiency in data visualization tools such as Databricks SQL dashboards, Tableau, or Power BI equivalent
- Experience building or supporting AI products
- Proficiency in data governance
- Bachelor's or Master's degree in Computer Science, Data Engineering, Computer Engineering, or related technical discipline, or equivalent experience (bonus)
Benefits
- Employee stock options, granted based off experience level upon hire and subject to a standard vesting schedule
- Employee stock options based on experience level
- Comprehensive health benefits, including $500 Lifestyle Spending Account
- Four weeks of paid vacation per year
- Work anywhere in the world for 60 calendar days of the year
- Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)
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