analyticallc

Principal Solutions Architect - Data Intelligence

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At a Glance

Location
Washington, District of Columbia, United States
Employment
contract
Experience
12+ years

Key Requirements

Required Skills

.NETAWSAgileData ScienceDatabricksKubernetesMySQLOraclePostgreSQLPythonSQLScalaScrumTableau

Certifications

  • ISO

Domain Knowledge

  • Engineering

Requirements

U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master’s degree in a plus.

12+ years of experience in enterprise data architecture, analytics architecture, or solution architecture, including leadership in large, complex environments.

Proven success designing and modernizing enterprise data platforms, BI ecosystems, and advanced analytics solutions.

Strong experience with big data, data lakes/lakehouse implementation, enterprise reporting, analytical data modeling, and cloud-based analytics platforms, preferably on AWS.

Proven enterprise experience with several of the following or equivalent technologies:

Responsibilities

Serve as the lead architect for the enterprise data and analytics ecosystem, guiding current-state sustainment and future-state modernization.

Define and evolve architecture for data ingestion, integration, storage, transformation, modeling, analytics, visualization, and governed access.

Lead design of scalable solutions for enterprise repositories, operational data stores, data marts, domain data products, self-service BI, and advanced analytics.

Drive architecture decisions for data quality, schema management, metadata, lineage, privacy, security, and identity-aware access.

Shape and operationalize capabilities in AI/ML, intelligent data models, predictive analytics, and graph/relationship-based analytics.

Partner with stakeholders, product teams, and engineers to translate mission needs into practical, secure, and reusable solutions.