As a Senior Data Architect, you’ll spearhead the development, harmonization, and optimization of our enterprise data architecture. This position places significant focus on data transformation, governance, and enrichment. As part of this role, you'll be instrumental in shaping the data landscape that propels our organization towards success.

What you will do

• Establish the framework for data architecture, setting standards and principles encompassing modeling, metadata, security, reference data, and master data.
• Provide expertise and guidance on data-related issues, including data processing, data lake design, data integration, and data governance.
• Evangelize data strategy among stakeholders such as business users and various development teams through design, documentation, review, and cross team negotiations to support strategic business and technology goals.
• Collaborate on continuous improvement of data platform, including tech stack upgrade, cost optimization and compliance requirement.
• Choose and communicate common approaches by selecting appropriate frameworks and crafting roadmaps.
• Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, product analysts, to gather requirements, define data requirements, and translate business needs into technical specifications.

What you will bring

• Bachelor’s degree in computer science, data engineering, or applied science.
• 5+ years of experience in Data Engineering.
• Excellent communication, presentation, and interpersonal skills.
• A hands-on approach with deep expertise in enterprise systems architecture, solution design, integration design, new product, and technology assessments.
• Proven experience in enterprise data architecture, data platforms, data strategy consulting, or equivalent data management experience.
• Expertise with cloud-based platforms like Azure Data Stack (Azure SQL, Data Factory, DataBricks, ADLS,
• DevOps, Azure EventHub’s etc.).
• Fluency in one or more programming languages (ex., Python/Java/Scala/C# or equivalent).
• Demonstrable experience architecting both Brownfield and Greenfield environments, on-premises and cloud.
• Experience building, governing, and scaling data warehouses/lakes/lake houses.
• Adeptness with agile software development lifecycle and DevOps principles.

What we would like to see

• Experience in architecting a Data Mesh.
• Expertise in infrastructure as code and automating production data and ML pipelines.
• Prior experience in legacy Hadoop distribution.
• Experience collaborating with Data Science teams.
• Exposure to healthcare data.

Company's Core Values and Expectations

Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to company’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the company environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities
Support company’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to company’s business practices; this includes becoming familiar with company's Code of Ethics, attending training as required, notifying management or company's Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations.