What are the responsibilities and job description for the Data Architect position at NasTech Global, Inc.?
Job Title: Data Architect
Location: Washington, DC (4 days per week onsite)
Clearance Required: , able to obtain a public trust clearance
Job Type: Contract To Hire
Location: Washington, DC (4 days per week onsite)
Clearance Required: , able to obtain a public trust clearance
Job Type: Contract To Hire
Top Skills
Federal Experience of some kind
Datababricks
Snowflake
AWS
Bachelor's Degree
Federal Experience of some kind
Datababricks
Snowflake
AWS
Bachelor's Degree
What You Will Need:
Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
Bachelor's degree in Computer Science, Engineering, or related field.
EIGHT (8) or more years of experience administering enterprise application/systems to include THREE (3) years supporting production environments.
Experience designing and implementing enterprise data architectures and modern data platforms.
Experience with ETL/ELT processes, data integration, and API-based architectures.
Experience developing data visualizations and analytical reporting solutions.
Experience supporting platform sustainment, operational planning, and continuous improvement initiatives.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud security.
Experience in application evaluations, technology feasibility assessments, architecture recommendations, integration planning, Databricks and platform advisory.
Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
Bachelor's degree in Computer Science, Engineering, or related field.
EIGHT (8) or more years of experience administering enterprise application/systems to include THREE (3) years supporting production environments.
Experience designing and implementing enterprise data architectures and modern data platforms.
Experience with ETL/ELT processes, data integration, and API-based architectures.
Experience developing data visualizations and analytical reporting solutions.
Experience supporting platform sustainment, operational planning, and continuous improvement initiatives.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud security.
Experience in application evaluations, technology feasibility assessments, architecture recommendations, integration planning, Databricks and platform advisory.
Thanks and Regards,
Murali Sharma
Murali Sharma