Data Architecture Engineer

ThinkTek•Washington, DC

1d•$150,030 - $163,020

About The Position

ThinkTek is seeking a Senior Data Scientist to lead the development and application of advanced analytics, machine learning, and artificial intelligence solutions in support of large-scale Federal Government programs. The selected candidate will leverage extensive experience in data science, statistical modeling, and programming to deliver mission-critical insights, predictive capabilities, and decision-support tools. The ideal candidate will bring expertise in working with secure environments, large and complex datasets, and advanced data visualization techniques.

Requirements

Bachelor's Degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's or PhD preferred).
5+ years of experience in data science, advanced analytics, or related fields.
Demonstrated expertise with Python, R, or similar programming languages.
Strong knowledge of machine learning, AI, and statistical modeling techniques.
Experience with SQL and working with large-scale databases.
Proficiency in data visualization tools (Tableau, Power BI, or equivalent).
Experience working in secure federal or DoD environments.
Active Top Secret Clearance with SCI eligibility required.

Responsibilities

Develop and maintain a comprehensive Data Migration Plan.
Document current ("As-Is") and future state ("To-Be") conceptual, logical, and physical data models and data dictionaries.
Map legacy data elements from disparate systems to the future state data schema.
Draft and propose data quality rules for approval, and support cleansing efforts under direction to identify and remediate duplicate, orphaned, or corrupted records prior to migration.
Utilize data engineering best practices to build scalable, automated transformation pipelines.
Coordinate with stakeholders to design, engineer, and oversee the technical interfaces and data pipelines required for continuous, secure data synchronization.
Ensure all engineered data models, pipelines, and architectures comply with relevant architectures and DoD IL5 data security protocols.
Design and engineer the underlying data structures and optimized data models necessary for generating high-level dashboards and executive metrics.
Serve as primary expert and liaison (internal and external) for data architecture