Senior Data Architect
Role details
Job location
Tech stack
Job description
We are seeking an experienced Senior Data Architect to support the design, development, and optimization of enterprise data and analytics solutions. The ideal candidate will have strong experience with cloud-based data platforms, data modeling, business intelligence, and enterprise reporting environments. This role will work closely with technical teams, business stakeholders, and leadership to deliver scalable, secure, and high-performing data solutions that support operational reporting and data-driven decision-making., * Design and maintain enterprise data architecture and data models.
- Support development of cloud-based analytics and reporting platforms.
- Develop logical and physical data models for enterprise reporting and analytics.
- Design and optimize ETL/ELT data integration processes.
- Support enterprise BI platforms including Tableau and/or Power BI.
- Collaborate with developers, analysts, and business teams to define data requirements.
- Implement data governance, security, and data quality best practices.
- Optimize SQL queries, reporting datasets, and analytics environments.
- Support cloud data environments in Azure and/or AWS.
- Create technical documentation and architecture standards.
- Participate in Agile development and project planning activities.
Requirements
Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, or related field.
- 7+ years of experience in data architecture, business intelligence, or data engineering.
- Experience with cloud data platforms such as Azure, AWS, or Snowflake.
- Strong SQL and data modeling experience.
- Experience with Tableau and/or Power BI.
- Experience with ETL/ELT tools and enterprise data integration.
- Understanding of data governance and security principles.
- Strong analytical, communication, and problem-solving skills., * Experience supporting federal government or enterprise environments.
- Experience with Azure Data Factory, dbt, or Python.
- Familiarity with CI/CD and DevOps practices.
- Relevant cloud or BI certifications are a plus.
Technologies
- Snowflake
- Azure Data Services
- AWS Data Platforms
- SQL
- Tableau
- Power BI
- Azure Data Factory
- Python
- Git