Senior Data Strategy & Governance Architect

Chandra Technologies, Inc; Raleigh (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Chandra Technologies, Inc. is seeking a Senior Data Scientist to support a Triangle-region engagement in Raleigh, NC. The role focuses on establishing enterprise data strategy, governance, and modern data architecture using Azure Databricks and Azure Data Factory.

You will partner with business units to define data standards, improve lineage, and create reusable patterns that align technical and business perspectives. The incumbent leads data architecture efforts with hands-on platform work.

Qualifications

• Experience defining and standardizing enterprise data elements and lineage.
• Ability to translate business needs into consistent data standards.
• Experience implementing metadata, data quality, and governance across projects.
• Strong ability to document end-to-end data flows and system relationships.

Responsibilities

• Partner with stakeholders to understand data needs and opportunities for improvement.
• Identify authoritative data sources and establish common business definitions.
• Incorporate governance, metadata, lineage, and data quality into initiatives.
• Standardize data ingestion, transformation, cleansing, and validation patterns.
• Maintain an inventory of data assets with owners and business definitions.
• Document data flows across applications, platforms, and reporting solutions.
• Participate in architecture discussions to promote consistency and reuse.

Skills

Data governance

Business requirements translation

Stakeholder collaboration

Documentation

Tools

Azure Databricks

Azure Data Factory

Power BI

Job description

Chandra Technologies, Inc. is seeking a Senior Data Scientist to support a Triangle-region engagement in Raleigh, NC. The role focuses on establishing enterprise data strategy, governance, and modern data architecture using Azure Databricks and Azure Data Factory.

You will partner with business units to define data standards, improve lineage, and create reusable patterns that align technical and business perspectives. The incumbent leads data architecture efforts with hands-on platform work.