- Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements
- Lead and architect migration of data environments with performance and reliability.
- 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
- Help define achievable roadmaps for technology investments that align with our strategic architectural direction.
- Analyze requirements in relation to available data, assesses source system data quality, and analyze schemas to meet performance requirements
- 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
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience developing enterprise data warehouse / data lake solutions
- 5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena,
- 3+ years experience with Big Data technologies, such as Apache Hadoop, Hive or Spark, Databricks and/or Snowflake
- Demonstrated on-the-job experience with large-scale data migration from Oracle on prem to AWS Cloud environment
- Demonstrated on-the-job experience designing data platforms for user consumption
- Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics
- Must be US Citizen
- Must be able to obtain and maintain a Public Trust security clearance
- AWS Certified Data Analytics Certification preferred.
- Exposure to SageMaker, NoSQL database
- Exposure to metadata management
- Exposure to Data Mesh
- Experience working in a DevSecOps environment, utilizing CI/CD best practices
- Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
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Data Architect - Washington, United States - Analytica
Description
Analytica is seeking a remote Data Architect to support one or more dynamic, long-term federal government enterprise data programs. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Responsibilities include (but not limited to):
Basic Qualifications:
Preferred Qualifications:
About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider.