Hiring: Lead, Solutions Architect - Data Analytics Engineering Company: Under Armour Location: Baltimore, MD Job Posted Time: 2026-09-10 11:29:12 Employment Type: Remote Target Skills & Keywords : CI/CD, Change Management, Data Pipeline, ELT, Python, RBAC, SAP, SQL, Snowflake, dbt About the job Experience: •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. Required Skills: •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. •Serve as the technical authority on Snowflake performance tuning, VWH optimization, RBAC frameworks, query efficiency, and cost engineering. 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. •Strong architectural influence, cross functional communication, and engineering leadership. •Demonstrated capacity to leverage Generative AI tools responsibly to improve engineering productivity and design quality. Compensation: •$125,000 - $165,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!