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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 skillsKnowledge of data management practices that align with modern/emerging analytics techniquesDesire 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 corporationTop Secrect clearance with ability to gain higher-level clearanceThis 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 platformsHands-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 LLMKnowledge 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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