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CACI International Inc

Data Engineering Product Architect

Posted 14 Days Ago
In-Office or Remote
Hiring Remotely in State Road, IL
99K-207K Annually
Senior level
In-Office or Remote
Hiring Remotely in State Road, IL
99K-207K Annually
Senior level
Lead design, build, and maintain scalable ETL pipelines and Databricks Lakehouse solutions. Standardize disparate datasets, implement CI/CD and reproducible code practices, integrate Databricks with enterprise systems, mentor engineers, document requirements, and collaborate with cross-functional teams to deliver secure, automated data platform capabilities.
The summary above was generated by AI
Job Title: Data Engineering Product Architect

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: Public Trust

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

* * *

The Opportunity:
The Opportunity: CACI’s growing Agile Digital Solutions Operating Group is searching for a Data Engineering Product Architect supporting the modernization and transformation of a large portfolio of enterprise business solutions used by the National Aeronautics and Space Administration (NASA). The candidate will be part of a team where complex problem solving, and communication skills are critical to success.
Responsibilities:

  • Lead the design, build, optimization, and maintenance of scalable ETL pipelines

  • Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations.

  • Champion the development of high‑quality, modern, and fully reproducible code using established software engineering practices — including version control, modular design, automated testing, documentation, and CI/CD—to ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows.

  • Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time

  • Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration).

  • Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps.

  • Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors.

    Collaborate with cross-functional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability

  • Document technical requirements, user stories, and workflow specifications for data integrations and interface development.

  • Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities

Qualifications:
Required:

  • Lead the design, build, optimization, and maintenance of scalable ETL pipelines

  • Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations.

  • Champion the development of high‑quality, modern, and fully reproducible code using established software engineering practices — including version control, modular design, automated testing, documentation, and CI/CD—to ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows.

  • Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time

  • Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration).

  • Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps.

  • Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors.

  • Collaborate with cross‑functional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability

  • Document technical requirements, user stories, and workflow specifications for data integrations and interface development.

  • Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities.

Qualifications:
Required:

  • Experience building scalable data-driven services, data ingestion pipelines, and automation workflows, contributing to high‑reliability cloud solutions at an enterprise scale

  • Experience working on complicated problems and providing solutions that are creative, yet practical and feasible

  • Strong communication and problem‑solving skills in dynamic, remote environments

  • Ability to empathetically work with platform customers (software or data engineering teams) to triage and resolve issues, enable self-service, and introduce improvements based on feedback

  • Ability to collaborate with data scientists, software engineers, platform engineers, cybersecurity, and product stakeholders to support data platform requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline. Experience will be considered in lieu of a degree

  • Demonstrated experience working with agile project management tools

  • Must be able to obtain and maintain a NASA Public Trust background investigation

Desired:

  • Experience supporting the NASA Web Services Operational Environment

  • Experience working with industry-standard Enterprise Data Platform applications, such as Databricks, Apache Airflow, or similar technologies

  • Displays tenacity in the face of hard problems and ambiguous requirements

  • Interest in driving innovation through independent contributions and strategic guidance of a team of software engineers and data scientists.

  • Experience supporting Federal government project

  • Ability to design and document technical solutions related to continuous integration and continuous deployment

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$98,500-$206,800

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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