NCDOT - Data Scientist- Senior

Establish enterprise-wide standards for data definitions, lineage, governance, quality controls, and business rules. Design reusable Azure Databricks and Azure Data Factory patterns for ingestion, transformation, cleansing, and validation. Partner with business and technical teams to identify authoritative data sources and standardize critical data elements. Document end-to-end data flows, system relationships, data ownership, stewardship, and enterprise data assets. Guide data architecture and solution designs to improve scalability, consistency, transparency, and reuse. Embed governance, metadata, lineage, and data-quality processes into data engineering and analytics initiatives. Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

3 years or more of experience defining enterprise data standards, lineage, data elements, and business rules. Proficiency in Azure Databricks for scalable data transformation, cleansing, analytics, and enterprise data processing. Experience with Azure Data Factory for reusable data ingestion, integration, transformation, and validation pipelines. Experience in data governance, metadata management, data lineage, data quality, and enterprise data architecture. Experience with Power BI, data flow documentation, authoritative data sources, and cross-system data integration. Excellent verbal and written communication skills