Lead Data Analytics and Visualization Engineer

EPAM Systems is seeking a Lead Data Analytics and Visualization Engineer who is passionate about data architecture and technical leadership. In this role, you will mentor a team and work closely with clients to collect, model, and visualize strategic data across various domains.

Responsibilities:

• Supervise, mentor, and inspire a team of data analysts and BI engineers. Foster a culture of continuous learning, collaboration, and engineering excellence
• Partner directly with client Product Owners and C-level stakeholders. Conduct detailed analysis of business problems, gather functional and technical requirements, and deliver interactive demo sessions
• Establish and enforce standards for visualization design, report performance tuning, query optimization, and technical QA testing across the team
• Design and build advanced-level dashboards and interactive reports (using Power BI, Tableau, or similar enterprise BI tools)
• Architect robust, scalable dimensional data models (Star and Snowflake schemas). Design and implement central Data Warehouse (DWH) solutions and clean data marts
• Build, manage, and optimize automated ETL pipelines. Maintain overall data cleanliness, profiling, and quality workflows (using modern orchestration tools like Apache Airflow)
• Oversee security setups (e.g., Row-Level Security, workspace governance) and administer the reporting and analytical environments
• Leverage scripting languages (like Python) to build advanced analytics models, including RFM (Recency, Frequency, Monetary Value), ABC/XYZ analysis, and Customer Lifetime Value (CLV) predictions
• Design frameworks to monitor complex metrics (such as CPA, ARPU, retention, and user behavior) to drive product performance, detect fraud, and optimize business processes

Requirements:

• 5+ years of hands-on experience developing high-performance BI dashboards and data models using tools like Power BI (highly preferred), Tableau, Metabase, or equivalent
• 1+ years of proven experience leading or mentoring a team of data professionals in an Agile environment
• Expert-level SQL knowledge, with a deep background in relational databases (MySQL, PostgreSQL, MS SQL Server) and experience with large-scale columnar/cloud data systems (such as ClickHouse or AWS Redshift)
• Solid understanding of staging areas, data cleansing, profiling, and modern data architecture concepts (DWH, Data Lakes, Lakehouses/Delta Lakes, and Data Marts)
• Proficiency in Python (specifically Pandas, NumPy, and statistical libraries) for data manipulation, automation, or custom analytical scripts
• Familiarity with cloud technologies, preferably AWS services (S3, Redshift, Athena, Lambda, Glue) or equivalent Azure, GCP, or Snowflake architectures
• Practical experience working in an Agile development environment (SCRUM, Kanban), with expertise in testing data products for latency and accuracy
• Exceptional ability to break down highly complex technical data structures into clear business insights for non-technical audiences
• Strong English proficiency (Upper-Intermediate level or higher)
• Hands-on experience with orchestration frameworks such as Apache Airflow
• Strong background in or understanding of corporate financial modeling, KPI setup, budgeting, and auditing procedures
• Understanding of CI/CD principles and automated deployment frameworks for BI and reporting tools