Lead Data Engineer
Conexess Group - Farmington Hills, Michigan, United States
Work at Conexess Group
Overview
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Overview
The Lead Data Engineer plays a key role in shaping the design, architecture, and strategic direction of mission-critical data systems. This position provides technical leadership, sets standards and best practices, and helps define the roadmap that supports the company's long-term data and analytics vision. The role will also focus on evaluating and integrating data across core business units, enabling more effective decision-making and insights. Responsibilities include the development and documentation of processes for data collection, transformation, and storage to support analytical initiatives. Job Title: Lead Data Engineer
Overview:
The Lead Data Engineer plays a key role in shaping the design, architecture, and strategic direction of mission-critical data systems. This position provides technical leadership, sets standards and best practices, and helps define the roadmap that supports the company's long-term data and analytics vision. The role will also focus on evaluating and integrating data across core business units, enabling more effective decision-making and insights. Responsibilities include the development and documentation of processes for data collection, transformation, and storage to support analytical initiatives.
Key Responsibilities:
Lead the design, prototyping, and development of data solutions for new and ongoing projects. Oversee all aspects of data engineering including gathering requirements, ensuring security, aggregating and modeling data, building ETL pipelines, data cleansing, and delivery. Review and collaborate with other Data Engineers, ensuring alignment with enterprise standards, internal patterns, and best practices. Serve as a key liaison between technical, functional, and business teams, as well as external partners and system integrators. Partner with Solution Architects to develop solution proposals and cost estimates for data initiatives. Conduct technical design reviews to ensure scalability, alignment with product roadmaps, and fulfillment of business requirements. Support data governance efforts by adhering to security policies and compliance standards. Proactively identify and resolve data-related issues and performance bottlenecks. Maintain detailed documentation of data models, pipelines, and related processes. Mentor and support junior team members in their development. Deliver work accurately and on time while maintaining high levels of customer service.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Data Analytics, Engineering, or a related field. At least 7 years of experience in IT systems analysis, application development, or data engineering. 7+ years of hands-on experience in data engineering, ETL development, data warehousing, or data science. 5+ years in a technical leadership role such as Tech Lead or Senior Staff Engineer. Extensive experience with Microsoft Azure data tools and platforms.
Preferred Skills & Attributes:
Strong coding skills in Python and SQL. Proficiency with Microsoft data tools including Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Microsoft Fabric, and Azure Synapse (formerly Azure Data Warehouse). Solid understanding of data governance, security, and compliance best practices. Excellent analytical, problem-solving, and strategic thinking abilities. Ability to troubleshoot and optimize data pipelines for performance and scalability. Strong interpersonal, leadership, and communication skills. Excellent organizational and time-management abilities with a commitment to meeting deadlines. Must be comfortable with hands-on development work and adapting to shifting priorities.
Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
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