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Data Scientist- Senior

CCS Global TechNC🇺🇸United StatesPosted Oct 23, 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationNC, United States
PostedYesterday
DatabricksAzurePower BIAzure Data Factory

Job description

CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.

Roles/Responsibilities:

  • Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement.
  • Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets.
  • Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives.
  • Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks.
  • Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships.
  • Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions.
  • Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.

Mandatory Skills:

  1. Ability to define and standardize enterprise data elements, lineage, and business rules across units with no existing framework. 3 years
  2. Ability to collaborate with business teams to translate data needs into consistent enterprise standards. 3 years
  3. Ability to implement governance practices including metadata, lineage, and data quality across projects with no existing framework. 3 years
  4. Ability to document end-to-end data flows across systems to improve transparency and architecture clarity. 3 years

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