Sr. Staff Systems Data Architect

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We’re looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support your mission of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career.

Northrop Grumman's Corporate Chief Information & Digital Office (CIDO) is seeking a Senior Staff Systems Data Architect to support the Engineering & Manufacturing Solutions (EMS) organization's Service Line team. This role requires a self-motivated professional with proven experience collaborating in cross functional Integrated Product Teams (IPTs). The ideal candidate will be a technology visionary and strategist who can lead the end-to-end lifecycle of data centric initiatives spanning data science, architecture, storage, analytics, and dissemination. Candidates who reside near a major Northrop Grumman facility are preferred (examples: Redondo Beach, CA, Roy, UT, Baltimore, MD, Rolling Meadows, IL, Huntsville, AL, Melbourne, FL, Falls Church, VA).

Key Responsibilities:

• Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across the EMS Service Line.

• Oversee the data models, aligning data models across engineering and manufacturing to support user needs and align with other service Lines and CIDO.

• Collaborate with engineering and business leaders to align data initiatives with program goals as well as enterprise data governance team.

• Develop and enable program data risks management process in concurrence with program risk management.

• Maintain knowledge of current and emerging Industry and government trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable.

• Display strong stakeholder management skills, including presenting solutions to senior leadership.

• Drive company-wide data strategy and innovation, aligning technical goals with business objectives.

• Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.

• Manage data governance, data security, data modeling, and enterprise architecture frameworks.

• Provide experience in understanding, managing, and integrating business or government program data across a variety of tool sets and data sources.

• Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms.

• Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines.

• Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure.

• Support data integration strategy between pillar systems.

Basic Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 14 years of experience; or Master's degree with 12 years of experience; or PhD with 10 years of experience

• 4+ years of experience in data infrastructure, DevOps, and data engineering, with 2+ years in a leadership or senior technical role.

• 3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms.

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