Job description

Standard Job Description The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking an experienced Data Platform Engineer to support the AI Factory team and product portfolio. The ideal candidate will have a strong background in Kubernetes and database administration, and will be responsible for designing, implementing, and maintaining our data platform, including data pipelines. You will work closely with our engineering teams to ensure seamless integration of our data systems with our applications and services. Key Responsibilities: • Design, build, and maintain our data platform, including data pipelines • Develop and implement Kubernetes-based data infrastructure, including deployment, scaling, and management of containerized applications • Administer and optimize databases, including relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB) • Develop and maintain data pipelines and maintain highly available vector databases, such as Weaviate • Collaborate with engineering teams to integrate data systems with applications and services • Ensure data security, compliance, and governance, including data encryption, access control, and auditing • Monitor and optimize data platform performance, including latency, throughput, and resource utilization • Develop and maintain documentation, including architecture diagrams, technical guides, and operational runbooks Responsible for development of IT solutions across all components of software systems through design, integration, implementation and support. Proficient in infrastructure, security, software development, database management systems, and systems integration. Develops using agile processes and common technology stacks. Basic Qualifications • 5+ years of experience in data platform engineering, with a focus on Kubernetes and database engineering • Strong experience with containerized applications • Strong understanding of data pipelines or data storage (ex. data ingestion, processing, and storage) • Strong programming skills or software development in languages such as Python, Java, or GoLang • Experience with development methodologies and version control systems such as Git Desired Skills • Experience with database administration, including high availability PostgreSQL architecture • Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK • Familiarity with patterns behind event-based observability systems, including queuing, batching, persistence, retries, and event replay • Familiarity with cloud-based database services (e.g., AWS RDS, GCP Cloud SQL). • Familiarity with logging and monitoring best practices for databases and applications. • Familiarity with vector databases, such as Weaviate, Milvus, or ChromaDB • Creative and resourceful when it comes to problem-solving • A passionate can-do attitude. You are not afraid to try, learn, and improve • Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes • Empathy for teammates/users and a desire to make their work frictionless and more efficient • Passion for building things that are useful Pay Information GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role. • Full-time salary range (GEOZONE 1): $122600.00 - $227600.00 • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc. • Full-time salary range (GEOZONE 2): $110300.00 - $204900.00 • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. • Full-time salary range (GEOZONE 3): $98100.00 - $182100.00 • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. • Full-time salary range (GEOZONE 4): $88300.00 - $163900.00 • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Requirements

Must-haves

Standard Job Description
Design, build, and maintain our data platform, including data pipelines
Develop and implement Kubernetes-based data infrastructure, including deployment, scaling, and management of containerized applications
Administer and optimize databases, including relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB)
Develop and maintain data pipelines and maintain highly available vector databases, such as Weaviate
Collaborate with engineering teams to integrate data systems with applications and services
Ensure data security, compliance, and governance, including data encryption, access control, and auditing
Monitor and optimize data platform performance, including latency, throughput, and resource utilization
Develop and maintain documentation, including architecture diagrams, technical guides, and operational runbooks
5+ years of experience in data platform engineering, with a focus on Kubernetes and database engineering
Strong experience with containerized applications
Strong understanding of data pipelines or data storage (ex. data ingestion, processing, and storage)

Nice-to-haves

Experience with database administration, including high availability PostgreSQL architecture
Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK
Familiarity with patterns behind event-based observability systems, including queuing, batching, persistence, retries, and event replay
Familiarity with cloud-based database services (e.g., AWS RDS, GCP Cloud SQL).
Familiarity with logging and monitoring best practices for databases and applications.
Familiarity with vector databases, such as Weaviate, Milvus, or ChromaDB
Creative and resourceful when it comes to problem-solving
A passionate can-do attitude. You are not afraid to try, learn, and improve
Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
Empathy for teammates/users and a desire to make their work frictionless and more efficient
Passion for building things that are useful
Pay Information

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesagilepythonjavagolangawsgcpsql

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave