As a Data Engineering Team Lead at Dealer Tire, you will lead a highly skilled team of innovative data professionals who are responsible for designing and implementing our company and enterprise data lakes in Snowflake, datasets/data models in Power BI, and the ETL/ELT pipelines that feed our business and analytical systems. You and your team will collaborate with internal and external customers and our affiliate companies, empowering them to solve business problems and gain powerful insights using high-performance datasets, enterprise analytics systems, and self-service tools such as Snowflake, Alteryx, R, Python, and Power BI.
As a Data Engineering Team Lead, your essential job functions will include the following:
Lead the effort to design, build, and enhance Snowflake data lakes, Power BI objects such as datasets, dashboards, and reports, and the database and ETL/ELT architectures needed to support them.
Collaborate with business and IT teams to implement comprehensive and easily expandable company and enterprise-level data models/datasets based on business needs.
Be a thought leader on future data usage (Data Futurist) and a catalyst for converting data into a knowledge base that can drive growth and power decision making.
Collaborate with internal and external customers, our affiliates, and other IT teams to define and implement a roadmap for the company and enterprise data models and the systems that support them, including the maintenance of consistent data entity and element definitions across multiple environments.
Participate in design reviews and lead reviews focused on data architecture and system performance.
Evangelize our data assets and empower users with self-service tools and training to enable them to leverage those assets effectively.
Establish the definition and management of standards, guidelines, processes, and best practices for technology and software development, data governance, and reporting and analytics.
Engage with multiple concurrent projects both within your team and with other teams, providing architectural/design oversight and guidance when needed.
Articulate ideas and architectural concepts clearly and concisely through verbal and written communication.
Measure the performance of the team and the datasets and systems they support as part of a focus on continual improvement.
Work closely with the Business Intelligence Analyst to manage your team's resource capacity and multiple concurrent work streams.
Ensure the adherence to established IT Security and Data Governance policies and assist in the creation and maintenance of those policies.
Leadership and Coaching
Provide inspirational leadership through collaboration, communication, and consensus building.
Provide vision, leadership, coaching, training, development, and support to the Data Engineering team.
Communicate operational priorities, objectives, and goals.
Facilitate problem solving and collaboration.
Complete a performance evaluation of each team member and recommend appropriate action such as promotions, counseling, and termination.
In collaboration with the Senior Manager, Enterprise Data Solutions, determine staffing needs, interview potential candidates, and hire associates.
Other Duties as Assigned
Position Requirements
7+ years of experience in Data Engineering, Data Architecture/Modeling, Reporting/Analysis, or comparable role is required.
Strong skills in querying databases (t-SQL, PL-SQL, etc.), data modeling (including data warehouse design concepts such as star schema design, etc.), data engineering, and data reverse engineering skills are required.
Strong verbal and written communication skills are required.
Ability to work cross-functionally in a fast-paced, high growth environment and manage multiple concurrent workstreams and priorities is a must.
Previous experience leading teams or projects is a plus.
A bachelor's degree in computer science, Statistics, Informatics, Information Systems, Business Analytics, or another quantitative field is a plus.
Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.), Alteryx, and Windows and Linux servers.
General expertise in enterprise IT architecture (database, ERP, middleware, UI, networking, infrastructure) is a plus.
Experience implementing high availability (HA) and disaster recovery (DR) solutions is a plus.
Competencies Required
Results Orientation
Agility
Initiative
Influence
Customer Focus
Business Acumen
Strategic Thinking
Organizational Agility
Relationship Building
Physical Job Requirements
Continuous viewing from and inputting data to a computer screen
Sitting for long periods of time
Travel as necessary.
Drug Policy
Dealer Tire is a drug-free environment. All applicants being considered for employment must pass a pre-employment drug screening before beginning work.
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