The client is seeking a Data Scientist - Senior to support the client’s rapid expansion of its enterprise data capabilities through Azure Databricks, Azure Data Factory, and modern analytics platforms. This contractor will be a dedicated resource focused on establishing consistent enterprise data practices that span both technical teams and business units as they are building data ingestion, transformation, cleansing and analytics solutions.

The contractor will provide the organization with an experienced consultant who can work directly and collaboratively with business units to understand how they define, interpret, and use their data, and then translate those needs into consistent enterprise standards. This role will help refine business-critical data elements, improve data definitions and lineage, and establish reusable patterns that align both technical and business perspectives. By partnering closely with business owners, the consultant will strengthen data quality, improve confidence in enterprise data, and reduce friction caused by inconsistent or unclear business rules.

The ideal candidate has advanced, specialized expertise in enterprise data strategy, governance, and modern data architecture that cannot be performed by an early-career resource. The position is responsible for establishing foundational, organization-wide data management practices and must operate as the initial member of a new Data Strategy & Governance function. This requires a high level of independent judgment, architectural leadership, and hands-on experience with complex data platforms.

Key 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.


Skill - Required / Desired - Amount of Experience
Ability to define and standardize enterprise data elements, lineage, and business rules across units with no existing framework. - Required - 3 Years
Ability to collaborate with business teams to translate data needs into consistent enterprise standards. - Required - 3 Years
Ability to implement governance practices including metadata, lineage, and data quality across projects with no existing framework. - Required - 3 Years
Ability to document end-to-end data flows across systems to improve transparency and architecture clarity. - Required - 3 Years





Notes:
Hybrid