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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. 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