Manager, Data Analytics Engineering

at Under Armour, Inc. in Little Rock, Arkansas, United States

Job Description

Manager, Data Analytics Engineering

Date: Jun 3, 2022

Location: Remote, US

Company: Under Armour

Under Armour has one mission: to make you better. We have a commitment to innovation that lies at the heart of everything we do, not just for our athletes but also for our teammates. As a global organization, our teams around the world push boundaries and think beyond what is expected. Together our teammates are unified by our values and are grounded in our vision to inspire you with performance solutions you never knew you needed but can’t imagine living without.

Position Summary

Under Armour is looking for a highly motivated, experienced, and dynamic Manager Data Analytics Engineer to deliver and execute the vision for the Enterprise Data Management team to enable Under Armour, as a Global organization, to be a cross functional & industry thought leader, based on its predictive insights from the use of data. This role will be responsible to lead, and govern the secure, scalable, efficient data analytics platform to enable data democratization through reporting and visualization.

You will join a results-oriented team and participate in the design, implementation, maintenance, and support of our modernized data platform to enable the business to make better, more informed decisions. This is a key role in the Data Analytics Engineering team and will work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team, as well as Domain Architect, within Enterprise Data Management Org. In this role you will help define, develop and implement solutions and provide services for the enterprise applications. Some of the Projects you will work on including but not limited to:

+ Migrating and Centralizing Enterprise BI data into a single cloud data platform (Snowflake) to house consumer and enterprise data together while enhancing the user community experience and support the growing demand to meet enterprise reporting, advance analytics , and executive decision-based reporting use cases.

+ Enterprise Top Dashboard: Build out the management reporting layer, identifying and developing the UA Top management dashboards. To transform Under Armour into a more data driven organization, enabling faster and better decision making and reducing the reliance on manual, labor intense reporting

+ Continue to support(SAP HANA/BOBJ Platform) and build the new capabilities (Snowflake/Tableau, Modernized Data Platform) as prioritized through demand intake process to support our business/functional partners.

Essential Duties & Responsibilities

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

+ Manage 1 to 2 Data Analytics Engineers as they work on data automation, transformation and visualization to design, develop, test and implement the appropriate backend and front-end structures needed to meet business reporting requirements.

+ Hire, manage, coach, and lead a high performing team of Data Engineers within the overarching governance of UA’s Global Operating Model.

+ Model, design, develop, test, and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements.

+ Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments.

+ Build aggregate data models. Manage the data flow to reflect in dashboards to meet business requirements.

+ Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.

+ Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation.

+ Follow development standards in accordance with UA best practices.

+ Work with Enterprise Data Analysts team to clarify functional requirements and create the TSD’s.

+ Data formatting and processing to build the foundation layer for dashboards and self-service reporting.

+ Troubleshoot data anomalies with engineering teams.

+ Work on data transformation, using the ETL tools. Build dimension views and fact tables.

+ Responsible for daily support of the data warehouse and associated data marts

+ Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT Teams to align with change management processes and to ensure performance, processes and access is optimal for our global reporting solutions.

+ Work collaboratively to align business requirements with reporting and analytical solutions.

+ Improve processes regarding data flow and quality to improve data accuracy, viability and value.

+ Work with Key Stakeholders on gathering business requirements; develop a technical plan with duration estimates. Execute the plan and deliver the required deliverables within the time estimate.

+ Lead and manage Code Reviews, Code promotions, Deployment and overall production execution.

+ Document development for peer reference and knowledge transfer.

+ Provide technical solution designs

+ Educate and empower the business community towards self-serve reporting model.

+ Coach and mentor junior team members.

Qualifications (Knowledge, Skills & Abilities)

+ Strong background on dimensional modeling and data warehousing concepts.

+ Proficiency in advanced SQL, performance tuning and optimization methodologies

+ Experience with Snowflake or cloud architecture such as AWS, Azure.

+ Prior experience with building data models on DBT (Data Build Tool) is a plus

+ Experience with Tableau a plus

+ Cloud Professional Data Engineer & Cloud Architect Certification is a plus

+ Proven ability to express complex technical concepts in business terms

+ Exceptional team player with excellent interpersonal skills.

+ Possess excellent organizational skills with the ability to manage multiple responsibilities

+ Comfortable working in a fast-paced, dynamic environment and committed to meeting deadlines

+ Deep analytical, planning, and problem-solving skills are required.

+ Excellent verbal and written communication skills.

+ Must be a self-starter, proactive and possess the ability to work with minimal supervision

Education And / Or Experience

+ Bachelor’s degree in Information model development and data warehousing or Computer Science or a degree to include similar major.

+ Fundamental data architecture and design skills

+ Excellent knowledge of SQL and strong data transformation skill.

+ Familiarity developing and supporting the SAP HANA, Business Objects, and SAC platform stack to ensure performance, process, access is optimal for the global reporting solution.

+ 4+ Years of Experience in data preps , establishing connection with data sources, creating dimensions, measures, calculation, adding or updating data models at tableau desktop, designing and building reports, dashboards and visualizations utilizing the Tableau Platform.

+ 3+ Years of Experience with dbt or similar data transformation and data orchestration tool.

+ Experience working in CICD framework.

+ 3+ Years of Experience delivering at scale with Snowflake and related products such as DBT,GitHub,Python.

+ Familiarity working with HVR or similar replication tool.

+ Enjoy working with emerging technologies.

+ Comfortable with language barriers or constraints; bilingual language skills are a plus


+ Fully remote

+ No relocation provided

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Job Posting: JC212758292

Posted On: May 07, 2022

Updated On: Jun 27, 2022