Data Platform Architect – Millennium Space Systems

Boeing•El Segundo, CA

7d•$218,450 - $321,250•Onsite

About The Position

The Data Platform Architect is responsible for designing, implementing, and optimizing scalable, cloud-native data architectures supporting real-time and batch analytics across the enterprise. This role defines technical strategy, leads solution design, and ensures the reliability, security, and governance of MSS’s data platforms. The architect will partner closely with engineering, analytics, cybersecurity, and product teams to deliver highly performant and cost-efficient data capabilities. The new hire will report to the Data Platform Manager. This position will sit onsite at our office in El Segundo, Ca. This position's internal job is Data Scientist. Our team is currently hiring for level 5.

Requirements

7+ years of experience in data architecture, data engineering, or cloud platform design
Strong experience building cloud-native data systems on Azure, AWS, or GCP
Hands-on expertise with streaming and distributed compute technologies (Kafka, Spark)
Practical experience with lakehouse formats (Iceberg, Delta, etc.) and large-scale storage patterns
This position requires an active U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Nice To Haves

Deep understanding of data modeling, metadata management, lineage, and governance frameworks
Experience designing scalable systems for both real-time and batch workloads
Strong communication skills; ability to lead design sessions and mentor engineering teams
Ability to operate in a fast-paced environment and manage multiple technical initiatives
Experience with Azure Synapse, Purview, Databricks, or equivalent platforms
Background supporting analytics, BI, and ML workloads
Experience in aerospace or other regulated industries (ITAR familiarity a plus)

Responsibilities

Architect and design scalable, cloud-native data platforms leveraging Azure, AWS services.
Develop and maintain end-to-end data solutions supporting both real-time streaming and batch processing.
Implement modern data Lakehouse patterns using technologies such as Apache Kafka, Spark, Iceberg, and cloud-native compute/storage.
Establish standards for data governance, quality, lineage, security, and compliance aligned with MSS and Boeing requirements.
Drive reliability, performance, cost optimization, and observability across all data platform components.
Lead technical design reviews, architecture diagrams, and platform roadmaps.
Mentor and support engineering and analytics teams in cloud data engineering best practices.
Collaborate with cross-functional teams to understand business needs and translate them into scalable technical solutions.
Support enterprise initiatives including Synapse, Purview, and related modernization programs.
Ensure solutions meet ITAR and internal compliance requirements.