Technical Data Engineering Manager

Technical Data Engineering Manager

We seek a Technical Data Engineering Manager with a unique blend of technical prowess, hands-on experience, and the vision to translate innovative ideas into world-class technical solutions. This role goes beyond traditional management; we are looking for a leader who is deeply involved in technical aspects and possesses the maturity to handle senior technical teams. In this role, you will have an opportunity to be part of one of the fastest-growing organizations and take part in shaping industry-leading initiatives.

The Data Engineer Manager is responsible for building and Managing enterprise data engineering solutions using our cloud-based data platforms. This hands-on role will drive the delivery of data solutions for Strategic Projects, technical deliverables, and design, address day-to-day business needs, and support data engineering workloads in a fast-paced enterprise environment.

Job Responsibilities:

• Lead Data Engineers to deliver solutions from Concept to Implementation, actively driving technical design discussions.
• Own data environments, integrate new technologies, and drive the development of robust solutions, ensuring excellence across the entire data life cycle - from data generation and storage to ingestion, transformation, serving, monitoring, and beyond.
• Have a direct impact on team growth through mentorship, coaching, and identifying growth opportunities.
• Manage and develop solutions to address data quality, metadata management, data operations, performance, and scalability, maintaining the highest standards throughout the data life cycle.
• Manage orchestration processes to streamline workflows and ensure seamless integration across the data ecosystem.
• Lead Data Engineers in dissecting intricate data issues and finding effective resolutions. Construct resilient solutions focusing on enduring maintenance and support, ensuring sustained efficiency over time.
• Perform unit tests, ensuring code is rigorously designed, elegantly coded, and tuned for performance.
• Have a direct impact on team growth through mentorship, coaching, and identifying growth opportunities.

Collaboration:

• Drive all interactions with business stakeholders to gather requirements, prioritize, and provide visibility to delivery timelines and commitments.
• Collaborate with cross-functional IT teams, influencing and driving design and development through technical guidance, leadership, and mentoring.
• Foster collaboration across functional IT teams to ensure alignment on project objectives, design principles, and development approaches.

Leading and Managing:

• Engage and influence internal partners, managing all aspects of agile ceremonies.
• Allocate resources to ensure commitments align with strategic objectives.
• Leverage strong problem-solving skills to address challenges swiftly and ensure the seamless execution of data engineering projects.
• Foster collaboration across functional IT teams to ensure alignment on project objectives, design principles, and development approaches.
• Effectively communicate and gain alignment within and with interdependent teams and stakeholders.

Process Improvement:

• Drive continuous improvement, implementing best practices for streamlined workflows and a reliable data platform.
• Proactively manage and support risks the engineering team encounters, utilizing a problem-solving approach to implement practical solutions.
• Conduct thorough root cause analysis for issues, ensuring that solutions are reactive and preventive.
• Mitigate escalations and drive continuous improvement to prevent recurring problems, recognize system deficiencies, and implement efficient solutions.
• Foster a culture of innovation and efficiency within the data engineering team.

Base Qualification

• 10+ years of industry experience designing and building distributed data Platforms.
• 5+ years of Management experience
• 5+ years of data warehousing experience (Snowflake), SQL Server, Azure
• Deep experience with systems architecture and design to develop Data Solutions
• Proven experience/ability/knack to build subject matter knowledge in the individual data domain and be an authority to guide development teams.

Preferred Technical Qualifications:

• 3+ years of experience in development, including Python, SQL, Scala, or Java
• 3+ years of experience working on real-time data and streaming applications.
• 3+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• Proficiency in the entire data life cycle, focusing on data quality, metadata management, and data ops.
• Proficiency in the data life cycle with a focus on data quality, metadata management, and data ops.
• Experience managing complex projects and ensuring teams meet deadlines.
• Exposure to various technical stacks and tooling (Snowflake, , Databricks, Azure and AWS Data solutions, Matillion, DBT, Airflow Orchestration, etc.)
• Experience in Data ecosystem tools for real-time batch data ingestion, ETL processing, and Reporting
• Experience managing security aspects of data engineering projects, including implementing secure data practices.
• Prior background in supply chain or distribution industry/domains would be a Plus.

Not the right job for you? Register your details at the 'Introduce Yourself' link (top right) and we'll be in touch!Job Location: SRS Distribution - McKinney

7440 State Highway 121 McKinney, TX 75070-3104

Equal Opportunity Employer.

Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today.