For our client, we are seeking a Senior Manager, Data & AI Architect (Remote) to join the team of a leader in the Aerospace & Defense space.
This role will shape enterprise data architecture strategy and guide the design of scalable, analytics-ready environments that support business decision-making. The ideal candidate will bring deep experience architecting modern data platforms, with a strong emphasis on cloud data engineering, governance, and integration across complex enterprise systems. You will partner closely with technical teams and business stakeholders to define standards, enable consistent analytics, and improve how data is modeled and delivered across the organization.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $132,400 – $251,600 annually
Responsibilities
Design and implement scalable enterprise data architectures based on Databricks
Establish Medallion Architecture patterns for data layers
Develop and integrate semantic layers for consistent analytics across systems
Create integrated data models for consolidated, analytics-ready data
Collaborate with stakeholders to define data requirements and transformation logic
Ensure compliance with data quality standards and governance guidelines
Mentor data engineering teams and provide technical leadership
Qualifications
Bachelor's or advanced degree in Computer Science, IT, Data Engineering, or a related field with required experience
10+ years of applicable work experience, or 7+ years with an advanced degree
Strong hands-on experience with Databricks and Lakehouse architecture solutions
In-depth knowledge of Medallion Architecture (Bronze, Silver, Gold layers)
Proficiency in Apache Spark, PySpark, and SQL for data processing
Experience in designing data models for integration of SAP ECC to S/4HANA
Understanding of data governance and architecture best practices
Benefits
Medical, dental, and vision coverage
401(k) matching and flexible spending accounts
Access to an employee education program to support ongoing learning
Paid time off and parental leave options
Flexible work schedules and employee assistance programs
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.