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
We 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 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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

Work arrangement
Yes