ZR_2082_JOB

Simple Solutions; Nashville (TN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Job summary

Zohorecruit seeks an experienced Senior Enterprise Data Architect to lead our data strategy in Nashville, focusing on Databricks Lakehouse and modern data platform capabilities.

The role requires collaborating with stakeholders across the enterprise to translate business objectives into scalable reference architecture, data pipelines, and governance models, integrating AI/ML and cloud-native services throughout the SDLC.

Qualifications

• Experience leading data architecture for enterprise-scale platforms.
• Strong knowledge of Databricks Lakehouse and cloud native data services.
• Experience applying AI/ML in data platforms.
• Familiarity with SDLC, CI/CD, and data governance best practices.

Responsibilities

• Guide ITG product teams on technology roadmaps and adoption strategies where needed.
• Lead data initiatives and validate designs honoring the current data strategy.
• Translate business strategy into architectural requirements for modern data platforms.
• Collaborate with ITG leaders, business teams, product managers, and project teams.
• Ensure data solutions meet security, privacy, and compliance policies.

Skills

Databricks Lakehouse

AI/ML technologies

Enterprise data architecture

Cloud platforms

Education

Bachelor’s Degree

Master’s Degree

Doctorate Degree

Cloud Data Management & Engineering Certifications

Job description

Senior Enterprise Data Architect with Databricks Lakehouse Hybrid

Nashville, United States

Senior Enterprise Data Architect with Databricks Lakehouse Hybrid role

6-12+ months contract

Solid communication skills and Lakehouse framework experience are a must have.

Job Summary

This role will report directly to the Director of Enterprise Technology & Architecture focusing on the company's enterprise data strategy shaped by established guiding principles. This individual will directly collaborate with and influence key stakeholders across all HCA services lines to mature data platform capabilities and existing software applications. This individual will translate strategic business objectives and vision into reference architecture, shape technical and non-functional requirements, and lead data driven project teams to enterprise scale solutions built for the future. The ideal candidate will possess advanced knowledge of best practices to support modern data integration, data pipelines, data storage, streaming, emerging data science and advanced analytics platform technologies and capabilities, cloud native infrastructure and services, and software development lifecycle (SDLC) standards such as CI/CD, change management, and Quality Assurance (QA) processes. This includes, but not limited to, generative Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and enterprise scale analytics. Additionally, the position will evangelize public cloud policies, standards, and best practices in partnership Information Protection to ensure consistency and adherence across state/federal regulatory and privacy requirements. The ideal candidate will champion the delivery of well-governed, high quality clinical and operational data products integrated with generative AI/ML functions as part of a broad enterprise platform. This will be the key focus area to ensuring data trustworthiness and utilization across all stakeholders and domains within HCA Healthcare. This position will be expected to work with entities outside of HCA to stay abreast and informed of trends and opportunities that might improve or affect HCA’s direction relative to the use and deployment of data architectures, inclusive of both on-premise and cloud-based capabilities. As a member of the Enterprise Technology & Architecture team, this individual will participate and facilitate activities such as Architecture Reviews, consult on technical design and process guidance, and work directly with ITG leadership in the selection and review of technologies.

General Responsibilities

• Guiding ITG product teams on technology roadmaps, serving as a lead change agent in the identification of emerging technologies and adoption strategies, where necessary.
• Serving as a lead architect on data initiatives, working closely with all project stakeholders to establish and validate designs that honor the current data strategy.
• Extracting and translating business strategy into architectural requirements in support of modern data platform capabilities.
• Continuously building strong relationships with ITG leaders, Business leaders, product managers, project managers, and other technical domain experts.
• Understanding long-term business objectives and suggesting technical strategies to meet those objectives.
• Effectively communicating design considerations, direction, methodology, and decisions directly with customers and stakeholders to ensure projects follow Enterprise Architecture standards.
• Highlighting architectural anti-patterns and blockers related to the project activities and work with Project Manager, Solution Architect and technical teams to resolve.
• Collaborating across multiple development teams to align data architecture to strategy.
• Working with security, networking, and cloud engineering to ensure that data solutions meet all established policies.
• Defining a data migration or bridging strategy for existing systems that need to migrate to a next generation application software platform.
• Assessing data management industry trends and ever-changing technologies to ensure developed solutions are following both internal and industry “best practices”.
• Demonstrating strong personal and organizational leadership skills.

Relevant Work Experience

Minimum amount of specifically related experience which is required to perform the role at this level.

Preferred/Required Experience

• Data principles and AI/Machine learning technologies

Management Experience

Minimum amount of specifically related experience which is required to perform the role at this level.

Education

Minimum formal academic training which typically provides the knowledge and skills necessary for successful job performance.

• Bachelor’s Degree Preferred Bachelor’s Degree Required
• Master’s Degree Preferred |
• Doctorate Degree Required in Medical Doctorate (MD) Required
• Doctor of Pharmacy (PharmD)
• Required Technical Training
• Other as Noted: Cloud Data Management & Engineering Certifications