Senior Report Data Architect

Job Title:   Senior Report Data Architect 

Location:   100% Remote

Duration:   Long Term contract

Experience: 16+ years

NOTE :  Candidate must be in Texas only.

NOTE :  Must have federal agency experience.

NOTE :  Candidates Must have familiarity with mainframe systems (IMS, COBOL files, JCL, batch processes)

Must Have:

Minimum 8+ years of enterprise data modeling experience, including star schema, snowflake schema, semantic modeling, and translating business requirements into scalable reporting structures
Minimum  6+ years hands-on experience with enterprise BI/reporting platforms (Power BI, Tableau, SSRS) and strong understanding of KPI design and analytical methodologies
Minimum  4+ years applying data governance principles, metadata management, and interpreting technical documentation

The Report Data Architect will be responsible for designing, developing, and maintaining the data architecture that supports enterprise reporting, analytics, and business intelligence needs. This role ensures that data structures, reporting models, and integration patterns are scalable, reliable, and aligned with business requirements. The architect will collaborate closely with enterprise architects, business stakeholders, data engineers, report developers, and IT leadership to deliver high‑quality reporting solutions that drive informed decision‑making.
The ideal candidate brings strong analytical skills, experience working with legacy systems, and a solid understanding of modern data platforms, reporting tools, and integration patterns.
All work products resulting from the project shall be considered "works made for hire" and are the property of the client.

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.
• Other responsibilities include partnering with cross‑functional teams (IT, business, data governance, reporting teams) to align on data strategy and architecture.
• Provide guidance and mentorship to report developers and analysts on data modeling and best practices.

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.

Minimum Requirements:

• Strong experience in data modeling (star schema, snowflake schema, semantic modeling).
• Hands on experience with enterprise reporting platforms (e.g., Power BI, Tableau, SSRS).
• Ability to translate business requirements into technical data structures.
• Skill with Microsoft Office tools, particularly with Word, Excel, Power Point, Visio, and SharePoint
• Familiarity with KPI design, business metrics, and analytical methodologies.
• Ability to interpret data models, data dictionaries, and technical documentation.
• Knowledge of data governance frameworks and metadata management.
• Experience in working in fast-paced and ever-changing environments; achieving project’s deliverables and deadlines; exercising sound judgment in making critical decisions; analyzing complex information and developing plans to address identified issues.  
• Skill in interpersonal relationships, including the ability to work with people under pressure, negotiate among multiple parties, resolve conflicts, and establish and maintain effective working relationships with various levels of personnel.
• Familiarity with mainframe systems (IMS, COBOL files, JCL, batch processes)
• Knowledge of local, state, and federal laws and regulations (PII) relevant to data management and data governance
• Experience in data focused projects, like moving from Legacy to newer systems.

Best Regards,

Ashish Singh

Truehire Staffing,

Email ID: