Lead Data Integration Engineer

EPAM Systems

1d

About The Position

The Lead Data Integration Engineer ensures reliable data flows across systems to support informed business decisions. The role combines technical leadership with hands-on problem-solving in a collaborative setting. The engineer guides the design and ongoing evolution of data integration solutions, supports team members and consistent engineering practices, works with business stakeholders to turn requirements into technical solutions, and helps keep data pipelines stable and reliable. The role also contributes to planning and prioritization to align technical delivery with project timelines and goals.

Requirements

• At least 5 years of relevant experience in Data Warehouse projects.
• At least 1 year of experience leading and managing teams.
• Experience architecting, building, and maintaining data pipelines using Azure Data Factory.
• Background integrating and delivering data solutions for business intelligence using Power BI.
• Ability to improve pipeline and transformation code for performance, scalability, and maintainability.
• Ability to understand business requirements for data projects and translate them into technical solutions.
• Experience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models.
• Familiarity with management tools and methodologies, including JIRA, Agile methodology, and ServiceNow.
• Hands-on experience with ETL tools such as Azure Data Factory and Azure Synapse.
• Proficiency in query languages and platforms including MS SQL Server and Oracle PL/SQL.
• Fluent English communication skills at B2 level or higher.

Nice To Haves

• Experience with Azure Synapse Analytics for data warehousing and analytics workloads.
• Familiarity with Salesforce Informatica, Snowflake, and dbt for data integration and transformation.

Responsibilities

• Guide the design and ongoing evolution of data integration solutions that support evolving business needs.
• Mentor and support team members, fostering best practices and consistent quality across data engineering work.
• Coordinate with business stakeholders to translate requirements into effective technical solutions.
• Oversee the stability and reliability of data pipelines, addressing issues proactively before they affect downstream processes.
• Contribute to planning and prioritization, aligning technical delivery with broader project timelines and goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed