Lead Data Integration Engineer

We are seeking a Lead Data Integration Engineer to lead analytics engineering and data modeling that turns raw interaction and telemetry data into trusted, consistent account datasets for decision-making and AI-enabled workflows. You will partner with cross-functional teams to deliver governed, self-service data products in Snowflake and dbt.

Responsibilities

• Lead analytics engineering delivery for integrated account-level datasets across interaction and telemetry sources
• Design dimensional models and semantic definitions that standardize account health, engagement, and intent metrics
• Build dbt models in Snowflake that transform structured and unstructured inputs into consistent dimensions and facts
• Establish naming conventions, modeling patterns, and shared metric logic to prevent conflicting calculations
• Create datasets optimized for retrieval and reasoning to support AI agent workflows and search use cases
• Develop feature tables and context stores that enable automated meeting preparation and account research
• Implement dbt tests, schema validations, and freshness monitoring to improve reliability and trust
• Define governance controls including RBAC and auditability for sensitive pipeline and interaction data
• Coordinate documentation, lineage, and ownership with operations and governance partners
• Deliver self-service models and clear docs so analysts and product teams can query independently
• Contribute to sprint planning, design reviews, and technical standards to ensure consistent execution
• Use AI-assisted development tools to accelerate modeling, testing, and documentation work

Requirements

• 5+ years analytics engineering or data engineering experience
• Data modeling experience for BI analytics and dimensional schemas
• Strong leadership skills to define modeling standards and guide reviews
• Strong project delivery skills in agile sprint cadences and backlog planning
• Advanced SQL skills with CTEs, window functions, complex joins, and performance tuning
• Strong dbt skills with modular projects, Jinja macros, custom tests, incremental models, and snapshots
• Strong Snowflake skills including warehouse sizing, query profiling, clustering, Time Travel, and access control
• Hands-on Git skills with branching, code reviews, and CI test runs
• Strong stakeholder collaboration skills with analytics and operations partners
• Upper-Intermediate English proficiency (B2)

Nice to have

• Snowflake Cortex experience with search, LLM functions, or embeddings
• RAG applications development knowledge including chunking and retrieval strategies
• Python for data analytics skills such as Pandas and automation scripting
• Data governance tooling familiarity for metadata, lineage, and cataloging
• BI analytics and visualization experience designing models for Tableau, Looker, or Power BI

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn