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

Requirements5+ 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 embeddingsRAG 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 catalogingBI analytics and visualization experience designing models for Tableau, Looker, or Power BIWe offer

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 Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In