Analytica is hiring a
Data Architect in Worldwide

Summary

Analytica is hiring a remote Data Architect to lead the development and enhancement of a shared enterprise data environment for federal government programs. The ideal candidate will have experience with developing enterprise data warehouse/data lake solutions and building cloud production data solutions using AWS services. They should also have hands-on experience with Big Data technologies like Apache Hadoop, Hive, Spark, Databricks, and Snowflake. Basic qualifications include a Bachelor’s degree in Computer Science or related field and 5+ years of experience in enterprise data warehousing. Preferred qualifications include AWS Certified Data Analytics certification and experience with SageMaker, NoSQL databases, metadata management, Data Mesh, FIPS 140-2 compliant encryption, and DevSecOps environments.

Requirements

• 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

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
• Lead and architect migration of data environments with performance and reliability
• Engage with clients and gather complex business data requirements from Business teams
• Help define achievable roadmaps for technology investments that align with our strategic architectural direction

Preferred Qualifications

• 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

Benefits

• Competitive compensation with opportunities for bonuses
• Employer-paid health care
• Training and development funds
• 401k match