The JD North America Enterprise Data Solutions team is helping to build an organization that makes decisions driven by data.
As a Tech Lead Engineer on the Enterprise Data Solutions team, you are helping enable data driven decision making by centralizing, processing, and preparing data from throughout the organization to be used to solve real business problems. You will work in a collaborative, agile team with a modern cloud based data stack to deliver value frequently.
This leader will effectively exhibit JD North America's core values of Customer, People, Winning, Community, and Financial Responsibility in everything they do by performing the following main duties:
Job Responsibilities-
Lead the data engineering team to deliver new initiatives
Collaborate cross-functionally with other senior engineers throughout the organization to deliver capabilities and to raise the level of data awareness
Plan long term direction for data solutions
Responsible for the technical architecture and data engineering approach
Work alongside product owner and stakeholders to structure and sequence work to achieve business objectives
Keep current on modern data stack trends and technologies to incorporate into our work
Developing best practices for all technical aspects of the data engineering process.
Mentoring and developing junior members of the team
Building integrations with data sources to ingest data in the central data lake using various technologies.
Cleansing, joining, preparing, and transforming data from raw sources into models suited for analytics purposes
Leveraging DataOps practices such as data test automation, automated quality checks, and automated deployment - to ensure high quality and improve time to delivery
Collaborate with the members of the Analytics teams and others within the organization to ensure data needs are met
Supporting the end users of the data and analytics, responding to tickets and inquiries from business partners when data quality issues occur
Maintaining data governance through documentation of data solutions, through ERDs, Confluence documentation, or external tools
Ensuring our enterprise data is timely and accurate
Required Education and/or Experience-
Bachelor’s degree in Computer Science or equivalent experience. In-depth understanding of reviewing and manipulating data in complex environments.
6+ years of experience
Knowledge of big data architecture and patterns
Experience leading teams to deliver data warehouse solutions
Strong SQL skills
Experience with cloud-based data warehouses, BigQuery a plus
Data modeling skills and understanding of analytical data warehousing
Understanding of data exploration, visualization, and BI tools such as Looker, Tableau, and Power BI
Experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow
Experience with data processing using Python
Experience with DBT a plus
Working knowledge of source control using git
Physical Demands-
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Sit for more than 6 hours per shift
Use hands to finger, handle and feel
Reach with hands and arms
Talk and/or hear
Walk or move from one location to another
Occasionally may need to climb, balance, stoop, kneel, or crouch
Lift and/or move up to 10 pounds regularly and up to 50 pounds occasionally
Punctuality and regular attendance consistent with the company’s policies is required for this position.
Average workweek is 40-50 hours, which can vary depending on business need.
Work Environment-
The work environment for this position is a moderately noisy office setting with very limited exposure to a moderate to loud warehouse setting.
The company reserves the right to modify this job description with or without notice. Employees may be asked to perform additional duties outside of normal job scope on a temporary basis per company policy.
#LI-DNI
This job description is not intended to cover all aspects, duties, and/or responsibilities required of employees. Employees may be asked to perform additional duties outside of normal job scope on a temporary or permanent basis per company policy. The company reserves the right to modify this job description with or without notice.
EEO Statement:
The Finish Line, Inc. is an Equal Employment Opportunity employer and is committed to complying with all federal, state, and local EEO laws. The Finish Line, Inc. prohibits discrimination against employees and applicants for employment based on race or color, religion or creed, national origin, alienage or citizenship status, marital status, sex, pregnancy status, age, military status, disability, or any other characteristic or class protected by law. The Finish Line, Inc. provides reasonable accommodations in accordance with applicable laws, including for disabilities, pregnancy, and religious practices.
Need accessibility assistance to apply?
Applicants who require accessibility assistance to submit an employment application can either call Finish Line at (317) 613-6890 or email us at talentacquisition@finishline.com. A member of our Talent Acquisition team will respond as soon as reasonably possible. (This email address and phone number is only for individuals seeking accommodation when applying for a job.)
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