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Data Optimization Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

... is optimal for our global reporting solutions. * Work collaboratively to align business ... Improve processes regarding data flow and quality to improve data accuracy, viability and value.

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

... is optimal for our global reporting solutions. * Work collaboratively to align business ... Improve processes regarding data flow and quality to improve data accuracy, viability and value.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Build high-quality analytical datasets and visualization-optimized data structures. Quality, CI/CD & Operational Excellence: * Own CI/CD deployment pipelines and release management processes. * Drive ...

... optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ... Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML ...

... optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ... Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML ...

... optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ... Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML ...

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Strong experience with AI evaluation, model performance optimization, responsible AI, and ...

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

Lead architectural strategy, implementation, and ongoing optimization of Adobe CDP within Adobe Experience Platform. * Define and evolve data governance, identity resolution, and audience ...

Use data-driven insights to identify risks, constraints, and optimization opportunities Develop Executive-Level Narratives and Communications * Translate complex network planning data into clear ...

Manager, E-Commerce Channel - US Vision Care

OR · On-site +1

$142K - $143K/yr

Drive search optimization and on-platform merchandising improvements (e.g. SEO/search, enhanced ... Apply data-driven insights to refine channel programs and improve customer experience. * Partner ...

You have strong financial and analytical acumen, with the ability to leverage data, metrics, dashboards, and performance reporting to drive informed decision-making, cost optimization, operational ...

Senior Front End Engineer - Avaya Infinity Platform

OR · On-site +1

$114K - $158K/yr

... and optimizing for latency, throughput, memory efficiency, and rendering performance in data-intensive UIs - 2+ years of real-time UI experience - you've built interfaces powered by WebSockets ...

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Showing results 1-20

Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are popular job titles related to Data Optimization jobs in Remote, OR? For Data Optimization jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Remote, OR look for? The top searched job categories for Data Optimization jobs in Remote, OR are:
Infographic showing various Data Optimization job openings in Remote, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Lead, Solutions Architect - Data Analytics Engineering

Lead, Solutions Architect - Data Analytics Engineering

Under Armour

OR • On-site, Remote

Full-time

Medical, Retirement

Posted 6 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

Values & Innovation
At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.
Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.
Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.
If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here.
Purpose of Role
Under Armour is seeking a seasoned Lead Solutions Architect, Data Analytics Engineering, to govern, and deliver modern data and analytics platforms that power strategic decision-making across the organization.
This role plays a critical part as a technical lead within EDMA responsible for architecting enterprise scale data products, defining engineering and modeling standards, and driving modernization across the Data Analytics/Decision Products ecosystem. This role leads complex cross functional programs, establishes Data Engineering best practices, and partners closely with Data Engineering, Automation & AI, Analysts, and Data Governance leadership to shape the roadmap and technical direction. As a hands on technical authority, lead engineers high performance ELT architectures, oversees CI/CD and production reliability, and mentors engineering talent across squads.
Your Impact
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
Enterprise Data Architecture & Engineering Leadership
  • Design and govern scalable ELT architectures, including advanced dbt modeling frameworks.
  • Lead the development of large, complex data pipelines, automation workflows, and decision intelligence solutions.
  • Own the end to end lifecycle of enterprise grade decision products used across functions.
  • Define and enforce architecture standards, modeling patterns, semantic layer principles, and engineering best practices.
  • Drive data platform modernization efforts, including migration, optimization, and adoption of emerging technologies.

Snowflake & Data Platform Excellence
  • Serve as the technical authority on Snowflake performance tuning, VWH optimization, RBAC frameworks, query efficiency, and cost engineering.
  • Lead modeling patterns, data sharing strategies, and enterprise semantic layer design.

Quality, CI/CD & Operational Reliability
  • Own significant components of the CI/CD pipeline, ensuring high reliability, automated testing, and governance.
  • Establish DataOps best practices across squads, including observability, monitoring, alerting, and versioning standards.
  • Oversee release management, change management processes, and production stability for decision products.

Leadership, Mentorship & Cross Functional Influence
  • Mentor junior level engineers; drive engineering maturity through code reviews, design reviews, and technical coaching.
  • Facilitate complex stakeholder sessions to align business requirements, architecture decisions, and delivery plans.
  • Lead cross functional data programs spanning Product, Platform, Automation, AI, Governance, and Analytics.
  • Partners with Product & Engineering lead to shape roadmap priorities, standards, and long term technical vision.
  • Deliver executive level presentations on architecture decisions, design tradeoffs, and product strategies.

Automation & AI Enablement
  • Build or integrate advanced automation frameworks supporting high scale operational workflows.
  • Apply Generative AI to streamline development, improve design standards, and scale repeatable engineering patterns.

Qualifications
  • Expert SQL abilities with mastery in complex data transformation and optimization techniques.
  • Deep expertise in data modeling, ELT architecture, and enterprise data ecosystems.
  • Proven ability to design and lead scalable data apps, automation pipelines, and decision intelligence solutions.
  • Strong proficiency with Tableau or similar analytics platforms.
  • Production level dbt expertise (modularity, testing, documentation, governance).
  • Strong background in CI/CD engineering, release management, and DevOps integration.
  • Advanced Snowflake engineering skills: VWH tuning, RBAC, cost/performance engineering, workload optimization, semantic layer design.
  • Advanced Python for automation, orchestration, and workflow engineering.
  • Experience with automation platforms such as Elementum.
  • Strong architectural influence, cross functional communication, and engineering leadership.
  • Ability to leverage Generative AI tools responsibly to improve engineering productivity and design quality.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
  • 7+ years in Data Engineering, Analytics Engineering, or Decision product development.
  • 6+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
  • 5+ Years of experience in DBT or similar data transformation/data orchestration tool.
  • 5+ Years of experience with Tableau, Power BI or similar analytics platforms.
  • 5+ Years of experience & strong background in CI/CD engineering best practice.
  • Preferred: Professional dbt/Snowflake certifications; SAP ERP domain knowledge.

Workplace Location
  • Location: This individual must reside within commuting distance from our Baltimore HQ office.
  • Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: 5% of the year
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

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Relocation
  • No relocation provided

Base Compensation
$125,000.00-$165,000.00 USD
Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.
Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

Our Commitment to Equal Opportunity
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.
Requisition ID: 166626
Location:

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