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Analytica · 6 hours ago

Senior Data Architect

Falls Church, VA

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking a Senior Data Architect to support federal government enterprise data programs, leading the architecture and implementation of cloud and hybrid big data solutions.

AnalyticsBig DataBusiness IntelligenceConsulting

No H1B

Security Clearance Required

U.S. Citizen Only

Hiring Manager

Sasha (Valdez) Hollenbaugh

Responsibilities

Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements

Engage with clients and use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams

Lead design reviews of data deliverable such as models (conceptual, physical, and logical), data flows, and data quality assessment and promote data modeling standardization, defines, and drives adoption of the standards and data governance practices

Analyze requirements in relation to available data, assesses source system data quality, and analyze schemas to meet performance requirements

Design and maintain a master data management strategy that accounts for all aspects of data management including data ownership, security, and data administration

Oversee data base administration and engineering to align to a data-as a service approach

Ensure high quality data deliverable artifacts are provided, which may include documentation to include formal process mapping, glossaries, data dictionary, functional and non-functional requirement specifications, technical design, key performance indicators, system testing and implementation activities

Participate as a subject matter expert and provide solution design and content as feasible on government proposals for projects related to area of expertise

Qualification

Enterprise data warehouse solutionsBig Data technologiesCloud production data solutionsData Governance toolsData Architecture frameworksUS Federal Security ClearanceData engineeringData managementData securitySoft skills

Required

Bachelor's degree in Computer Science, Engineering, Science, or related field

10+ years of experience developing enterprise data warehouse / lake solutions

5+ years experience with Big Data technologies, such as Apache Hadoop, Hive or Spark

Possesses broad knowledge across the entire data and analytics lifecycle, including databases, data engineering, governance and end-user workflows

Hands-on experience building cloud production data solutions leveraging services and technologies, including Spark, Databricks, Oracle, Cloudera, or Amazon Redshift

Strong understanding of well-architected frameworks, including Data Architecture, Data Management, Data Governance, and Data Security

Ability to secure a US Federal Security Clearance at a Secret Level