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The MITRE Corporation Principal Data Solutions Architect in McLean, Virginia

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

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 (https://www.altexsoft.com/blog/best-bi-tools-comparison/) .

  • 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

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .

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