DATA ENGINEERING LEAD

Overview

Provide technical and project leadership to the Data & Analytics team ensuring design and implementation of robust data architecture solutions and delivery of high quality, impactful data products.

Responsibilities

• Collaborate with product management to assess technical feasibility of projects and refine requirements. Explain and clarify requirements with the team.
• Inform, advise, and build consensus with management and other stakeholders on technical projects, complex matters, and decisions.
• Provide feedback to the data architect, helping design the big picture.
• Conduct one on one meetings with team members, product and other internal stakeholders.
• Coordinate technical discussions and team retrospectives when needed.
• Provide technical leadership to data engineers and data scientists/analysts. Mentor and coach team members to enhance technical skills and capabilities. Coordinate development tasks. Pair with team members to work side by side when appropriate.
• Work closely with data engineers, data scientists, and analysts to ensure seamless collaboration.
• Lead the execution of data and analytics projects, ensuring timely delivery and adherence to specifications.
• Interpret, administer, and participate in policies, processes, and procedures. Define, lead by example, and enforce coding standards, best practices, and quality assurance processes. Implement and document best practices for data storage, indexing, and query optimization. Create and maintain training documentation.
• Evaluate and manage risk. Anticipate and influence business challenges. Escalate issues when appropriate. Recommend actions and improvements.
• Incorporate continuous improvement concepts, systems, and tools in daily work and help coach others on those systems and tools.
• Help establish and measure team KPIs.
• Manage and assess technical debt, identify optimization for long-term.
• Contribute to cloud engineering, data engineering, data analysis/exploration, and dashboard creation.
• May perform other duties as assigned.

Qualifications

• BS or BA degree in Computer Science, Information Technology or a related field.
• 7+ years of experience in data, responsible for coding at least partially in the past year.
• 2+ years as a tech lead or engineering manager.
• Experience working with big data and analytics.
• Experience building in AWS or other cloud provider.
• 2+ years working with Apache Spark, Databricks experience preferred.
• 5+ years of Python.
• 2+ years working with a visualization tool, such as Preset, PowerBI or Tableau.
• 2+ years working with Data Warehouses.
• Strong history of leading teams successfully.
• Excellent communication and interpersonal skills with technical and non-technical stakeholders.
• Ability to communicate with stakeholders creating compelling narratives, influencing decisions, managing conflict and building consensus.
• Excellent problem-solving and decision-making skills.
• Ability to balance hands-on technical contributions with leadership along with a clear sense of when to lead the team and when to follow.

About SRAM

SRAM LLC is one of the world's largest suppliers of components to the bike industry. Established in Chicago in 1987, SRAM continues to promote cycling through its products, its advocacy, and its employees who are dedicated to improving the cycling experience. Today, SRAM employs more than 5,000 employees, in 20 locations, across 10 countries. SRAM is proud to be an equal opportunity employer.