Hiring: Data Architect / Data Engineering Lead Company: Optum Location: Minnetonka, MN Job Posted Time: 2026-09-10 11:05:50 Employment Type: Full-time / Remote Target Skills & Keywords : Airflow, CI/CD, Databricks, Docker, ELT, ETL, Kubernetes, Python, SQL, Security Clearance, Snowflake, Spark, Terraform, dbt About the job Experience: •8+ years in data engineering and/or data architecture roles with demonstrated ownership of enterprise-scale data solutions Required Skills: •Data Architecture & Platform Design •Define and evolve target-state data architecture, including reference architectures, integration patterns, and platform standards across warehouse/lakehouse ecosystems. •Lead architectural decision-making for cloud data platforms (e.g., Snowflake, Databricks) including compute/storage patterns, multi-environment strategies, security boundaries, and cost controls. •Create technical roadmaps that align business outcomes with scalable data capabilities (analytics, operational reporting, AI/ML readiness). •Data Modeling & Information Design •Own enterprise and domain data modeling standards (conceptual/logical/physical), including dimensional modeling, canonical models, and patterns for curated datasets. •Ensure consistent definitions, metrics alignment, and high-quality, analytics-ready data products. •Data Engineering Delivery (Hands-on Leadership) Qualifications: •Expert-level data architecture experience: designing modern data platforms, integration patterns, and scalable data delivery approaches •Solid data modeling expertise (dimensional, normalized, canonical models; conceptual/logical/physical modeling) •Advanced proficiency with Python and SQL; strong engineering discipline (testing, documentation, maintainability) •Proven experience with cloud data technologies including Snowflake and/or Databricks (Spark-based engineering) •Solid workflow orchestration experience with Apache Airflow; experience with managed Airflow platforms such as Astronomer •Demonstrated ability to lead technical direction, mentor engineers, and influence architecture decisions across teams •If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment •Bachelor's degree in Information Technology, Computer Science or related field dbt experience (modeling and transformation lifecycle management) •Observability tooling experience (pipeline monitoring, alerting, logging, operational dashboards) •Infrastructure-as-code and containerization (Terraform, Docker, Kubernetes) in support of data platforms Compensation: •$112,700 - $193,200 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package 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!