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S E K H A R @ TEKWINGS. COM
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Share profiles ASAP before 10 MAR, 2026 at 2 PM (CST)
Requirement details:
Internal job ID:TWK_3143
Senior Data Architect
State of Texas
Austin, TX #Remote
Note:
1) This position is Remote in Texas state 2) Local to Texas profiles only
Interview Mode : Team Meetings ( In-person interview may be required based on client needs )
- Active Texas DL & LinkedIn Id Must for submission
- Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Public Sector (State / Federal / Local Govt.) Client Experience profiles preferred
EXP: 14+ Years Must
Required Skills:
8+ years of enterprise data modeling experience, including star schema, snowflake schema, semantic modeling, and translating business requirements into scalable reporting structures
6+ years hands-on experience with enterprise BI/reporting platforms (Power BI, Tableau, SSRS) and strong understanding of KPI design and analytical methodologies
4+ years applying data governance principles, metadata management, and interpreting technical documentation
Job Description
Design and maintain reporting data models, including fact and dimension
structures, semantic layers, and reporting datasets. Define and document data
architecture standards, best practices, and governance guidelines. Ensure data
models support business KPIs, operational reporting, dashboards, and advanced
analytics. Partner with enterprise architects and data engineering teams to
design efficient ETL/ELT pipelines and data integration workflows. Translate
business requirements into scalable reporting data structures and data flows.
Essential Job Duties
- Lead the
design of scalable data solutions that support future growth and
modernization initiatives.
- Collaborate
with reporting teams to ensure consistent definitions, calculations, and
metrics across the organization.
- Support
the creation of reusable data assets for BI tools such as Power BI, or
similar platforms.
- Work
closely with business units and mainframe team to understand reporting
needs, KPI definitions, and analytical goals.
- Ensure
data accuracy, consistency, and integrity across reporting environments.
- Establish
and enforce data governance standards, including naming conventions,
metadata, and documentation.
- Support
compliance with security, privacy, and regulatory requirements.
- Troubleshoot
complex data issues and provide architectural direction for resolution.