Lead Data Integration Engineer

We are seeking a highly capable Lead Data Integration Engineer to join our team. This role is central to ensuring data flows reliably across systems to support informed business decisions. You'll work in a collaborative setting where technical leadership and hands-on problem-solving go hand in hand. This is an excellent opportunity for someone looking to make a meaningful impact on how data drives organizational success 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 closely with business stakeholders to translate requirements into effective technical solutions Oversee the stability and reliability of data pipelines, addressing issues proactively before they impact downstream processes Contribute to planning and prioritization efforts, helping align technical delivery with broader project timelines and goals Requirements A minimum of 5 years of relevant experience in Data Warehouse projects At least one 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 Proven ability to continuously improve pipeline and transformation code for better performance, scalability, and maintainability Ability to understand business requirements related to 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, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Experience with Azure Synapse Analytics for data warehousing and analytics workloads Familiarity with Salesforce Informatica, Snowflake, and dbt for data integration and transformation purposes