Manager of Data Engineering

About the role

The Manager of Data Engineering at Safelite is responsible for modernizing key legacy data pipelines, focusing on data ingestion, replication, and continuous integration. This role will oversee the development, maintenance, and enhancement of key data infrastructure, ensuring data quality and reliability. Additionally, the Manager will serve as a player-coach to a team of data engineers.

Responsibilities

• Lead the effort to modernize and enhance legacy data ingestion processes, ensuring they are efficient, scalable, and maintainable using tools such as AWS Glue or Apache Kafka
• Design and build scalable ETL pipelines to automate data ingestion from various sources into a centralized data lake and enable a proactive posture toward consuming source system updates and changes
• Develop and deploy continuous integration and continuous deployment (CI/CD) pipelines to automate and streamline data engineering workflows
• Enhance monitoring and alerting systems to proactively identify and resolve issues, minimizing downtime and ensuring data quality
• Analyze and deconstruct complex operational and financial reporting workflows from legacy systems. Rebuild these workflows using modern cloud-based tools, ensuring they are optimized for performance and scalability
• Serve as a player-coach, providing technical guidance and mentorship to a team of skilled data engineers. Develop training programs and resources to enhance the team's technical capabilities and ensure successful maintenance and scaling of new tools and processes
• Work closely with peers and leaders across the engineering and business organizations to align data engineering efforts with overall company goals. Participate in cross-functional projects to integrate source system changes into downstream data pipelines and reporting assets. Ensure data engineering solutions are aligned with business needs and support data-driven decision-making
• Manage costs associated with running Data infrastructure and operations

Requirements

• Bachelor's Degree in computer science, engineering, analytics, or related field
• 4-6 years hands on experience in a data engineering or analytics related role
• 1-3 years managing a technical team
• Extensive experience with ETL/ELT jobs and data pipelines using tools such as Buildkite, AWS Glue, and Informatica. (High proficiency)
• Proficiency in cloud data warehouses (e.g., Snowflake, BigQuery) and relational databases. (High proficiency)
• Advanced SQL skills, including window functions, CTEs, and nested queries. (High proficiency)
• Experience with script-based data transformation tools (e.g., dbt, Talend). (High proficiency)
• Ability to train and guide developers in using version control tools like GitHub. (High proficiency)
• Deep understanding of data architecture principles. (High proficiency)
• Ability to collaborate with cross-functional teams. (High proficiency)
• Experience managing and mentoring data teams. (Medium proficiency)
• Experience with legacy data tools, such as mainframe systems, Oracle, and Informatica. (Medium proficiency)
• Ability to orchestrate complex workflows using tools like Apache Airflow or Dagster. (Medium proficiency)
• Strong understanding of data governance and security practices. (Medium proficiency)
• Proficiency in Python or similar programming languages. (Medium proficiency)
• Leadership skills with experience in project management. (Medium proficiency)

Qualifications

• Competitive weekly pay and bonus opportunities
• Total job benefits valued at more than $10k*
• Up to $5,250 in tuition reimbursement per year
• View all our health, wealth and life offerings at www.safelitebenefits.com
• Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs.