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Manager Data Analytics Engineer Jobs in Towson, MD

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Under Armour is committed to empowering individuals who strive for more, and they are seeking a highly motivated Sr. Data Analytics Engineer to join their Enterprise Data Management & Analytics team.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Manufacturing Analytics Engineer

Cockeysville, MD · On-site

$69K - $89K/yr

... Engineer to join their in-house analytics and operational support team ... The role involves data collection and analysis for business support functions, as well as providing ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Towson, MD salary details

$42.6K

$124.3K

$170K

How much do manager data analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager data analytics engineer in Towson, MD is $124,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Towson, MD? For Manager Data Analytics Engineer jobs in Towson, MD, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Towson, MD look for? The top searched job categories for Manager Data Analytics Engineer jobs in Towson, MD are:
What cities near Towson, MD are hiring for Manager Data Analytics Engineer jobs? Cities near Towson, MD with the most Manager Data Analytics Engineer job openings:

Sr. Data Analytics Engineer

Under Armour

Baltimore, MD • On-site

$113K - $136K/yr

Full-time

Re-posted 24 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

21st of 104 rated fashion retailers


Job description

Job Summary:
Under Armour is committed to empowering individuals who strive for more, and they are seeking a highly motivated Sr. Data Analytics Engineer to join their Enterprise Data Management & Analytics team. This role involves building scalable data transformation frameworks and data products, designing data analytics pipelines, and mentoring junior engineers while delivering trusted data products that drive smarter decisions.
Responsibilities:
• Lead data model design, semantic layer definition, and scalable ELT architecture.
• Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
• Build high-quality analytical datasets and visualization-optimized data structures.
• Own CI/CD deployment pipelines and release management processes.
• Drive engineering best practices include testing, observability, modular modeling, and documentation.
• Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
• Lead root-cause analysis and long-term fixes for complex data issues.
• Mentor junior engineers and uplift engineering maturity across squads.
• Facilitate stakeholder sessions to translate business requirements into scalable data products.
• Influence architectural decisions and emerging-technology adoption.
• Partners across EDMA, AI/Automation, Platform, and Governance teams.
• Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.
• Apply Generative AI tools to streamline development workflows and enhance product quality.
• Contribute to the design of AI-enabled automation solutions.
Qualifications:
Required:
• Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
• Expert SQL abilities with mastery in complex data transformation patterns.
• Deep expertise in data modeling, ELT design, and enterprise data architecture.
• Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
• 4+ Years of experience with Tableau or similar analytics platforms.
• 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.
• 2+ Years of experience & strong background in CI/CD engineering best practice.
• 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
• Advanced Python for automation, orchestration, and engineering workflows.
• Working knowledge of automation tools (e.g., Elementum).
• Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.
• Generative AI applies responsibly to accelerate development and improve quality.
• Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
• Skilled at bridging the gap between technical depth and business clarity through impactful communication.
Company:
Under Armour is a manufacturer of footwear, sport, and casual apparel. Founded in 1996, the company is headquartered in Baltimore, USA, with a team of 10001+ employees. The company is currently Late Stage.

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