Principal Data Solutions Architect

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Department Summary:

The Data Environments and Engineering Department (L146) in the Data and Human Centered Solutions Innovation Center is seeking highly motivated, adaptive, and enthusiastic candidates with a wide variety of experience and interests including in team leadership, systems engineering, software engineering, information systems, and data engineering to join our department as a Principal Data Solutions Architect. Candidates should be recognized leaders, have the ability to develop strategies and solutions to complex problems, and have a strong interest in addressing and solving challenges related to capturing, managing, and sharing data supporting decision making and enabling mission processes.

Role and Responsibilities:

Working with experienced project teams and data management experts, project tasks may include:

• Leading teams of high quality, high velocity developments to sponsor challenges and deliverables.
• Designing and building prototypes for ingesting, curating, and analyzing data at scale.
• Collecting and preparing data for use by data scientists and analysts.
• Leading stakeholder interviews to determine data requirements and and leading ensuing data solutions.
• Guiding state-of-the art data transformations to meet the requirements for system interfaces and data integration projects.
• Performing data profiling to identify quality gaps and determine if data is fit for use for its intended purpose.
• Researching and evaluating data engineering tools and technologies.

Basic Qualifications:

• Typically requires a minimum of 10 years of related experience with a bachelor’s degree; or 8 years and a master’s degree; or a PhD with 6 years’ experience; or equivalent combination of related education and work.
• Top Secret is required
• Experience leading technical teams in data-oriented solutions.
• Proven experience identifying and harnessing business opportunities and securing needed resources.
• Strong developer skills using SQL and Python. Proficiency in other modern programming languages such as, R, Scala, C++, Java, C#, and JavaScript.
• Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra).
• Excellent written and verbal communications skills with ability to describe and present complex technical concepts in relatable terms.
• Strong knowledge of ETL/ELT processes, tools, and frameworks.
• Experience with large scale data architectures. Activities may include analysis of alternatives, technical product evaluations, requirements analysis, design, data systems prototyping, and process automation.
• Experience building conceptual, logical, and physical data models.
• Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
• Data Engineering skills to include:
  • Expertise in preparing data for analysis.
  • Strong understanding of data science concepts.
  • Experience with BI tools.
  • Understanding ML frameworks, algorithms, and libraries.
• Understanding of probability and statistics.
• Strong innovation, problem-solving, systems analysis, planning, organizational, and interpersonal skills
• Knowledge of data management practices that align with modern/emerging analytics techniques
• Desire to continuously learn new techniques and evolve approaches by regularly engaging in structured educational pursuits, personal research, and outreach to subject matter experts across the corporation
• Top Secrect clearance with ability to gain higher-level clearance
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Master’s degree or PhD in computer science, data science, systems engineering, software engineering, engineering, or information systems.
• Proven experience in trusted advisor roles to senior internal/external leaders.
• Repeated experience shaping solutions and building/leading technical teams for complex business objectives.
• Experience migrating legacy data systems to new/modernized platforms
• Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.
• Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh.
• Understand the use of data in AI/ML and LLM
• Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
• Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques.

This requisition requires the candidate to have a minimum of the following clearance(s):

Top Secret

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret

Work Location Type:

Hybrid

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