Manager, Enterprise Information Mgmt Platform Admin

Stanford Health Care•Palo Alto, CA

2d•$84 - $111•Hybrid

About The Position

Manage, in a highly automated manner, the infrastructure of SHC's Enterprise Information Management (EIM) platform (currently DataBricks on Azure in a mesh architecture with GCP and AWS environments) including SecOps, DevOps, FinOps, orchestration, etc. Collaborate with owners of Data Products and other solutions, including Data Scientists creating AI/ML solutions, to align solutions to standards and deploy to production. This is a Stanford Health Care job. This role will have a primary focus on day-to-day administration, monitoring, and support of the Enterprise Information Management (EIM) platform, participate in management of the Cloud infrastructure, and design, build, and operate process automations to manage the platform. This role provides subject matter leadership for one or more domains and/or operational frameworks (SecOps, DevOps, FinOps, Architecture, etc.) of the EIM platform. They drive evolution of related portions of the EIM architectural blue print and roadmap through regular assessment of new/evolving technologies that may be leveraged to improve operational efficiency, data quality, and adoption of data products. They also manage the financial operations (FinOps) for their domain(s) in alignment with EIM policies and budgets. The ideal candidate will have a strong background in cloud technologies, particularly Azure Databricks, utilize systems thinking to holistically create solutions, and a passion for driving automation and efficiency in data management processes. You will work closely with various teams and leadership to facilitate the innovation processes while ensuring data integrity, security, and compliance. This individual will lead projects, mentor team members, define architect strategies that advance the goals of the organization, make architectural/design decisions, and define & monitor technical standards for the team. This role will reside in Stanford Health's Enterprise Information Management department.

Requirements

BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university required.
EIGHT (8) OR MORE YEARS EXPERIENCE AS A CLOUD ENGINEER, DATA ENGINEER, OR IN SIMILAR TECHNOLOGY ROLES WITH A RECENT FOCUS ON CLOUD TECHNOLOGIES REQUIRED.
Certifications in Azure (e.g., Azure Solutions Architect, Azure Data Engineer) and/or Databricks required.
Thought Leadership in Cloud Technologies: Recognized expert in cloud data engineering with a focus on innovative solutions and best practices.
Comprehensive Knowledge of Azure Services: Mastery of Azure services, including the latest advancements and features.
Strategic Vision for Data Architecture: Ability to define and drive the strategic vision for data architecture and engineering practices.
Expertise in Infrastructure-as-Code and Automation: Mastery of infrastructure-as-code tools and automation strategies for cloud resource management.
Innovative Solution Design: Proven track record of designing and implementing cutting-edge, scalable data solutions.
Influential Leadership and Mentorship: Ability to lead cross-functional teams and mentor engineers at all levels, fostering a culture of innovation and excellence.
Expertise in Data Security and Compliance: Authority on data security best practices and compliance regulations, influencing organizational policies.
Exceptional Problem-Solving and Analytical Skills: Ability to tackle the most complex data challenges and provide strategic solutions.
Strong Communication and Advocacy Skills: Exceptional ability to communicate technical concepts to executive leadership and external stakeholders, advocating for data initiatives.
Contribution to the Data Engineering Community: Active participation in industry forums, conferences, and publications, contributing to the broader data engineering community.
Makes reliable operational internal decisions independently and reliable tactical external decisions independently.

Responsibilities

Technical Leadership: Serve as the highest technical authority for a specific operational domain and/or technology. Provide technical leadership to the team and others within SHC on best practice uses and capabilities and how to utilize these to enable solutions.
Innovation and Research: Drive innovation by researching and implementing cutting-edge technologies and methodologies.
Develop vendor/platform relationships and influence product adoption based on SHC needs and priorities.
Strategy & Architecture Design: Design complex data architectures and frameworks to support business needs. Define and maintain components of the Lakehouse reference architecture and standards. Collaborate with leadership on architectural blueprint, roadmap, and budgeting to support the EIM strategy.
EIM Environment & Infrastructure Mgmt: Collaborate with Cloud Infrastructure leadership to align and optimize common operational processes (IaC, DevOps, FinOps, etc.).
Design and enforce platform standards: environment separation (dev/test/prod), workspace segmentation, cluster policy design, catalog structure, secure library/dependency management, etc.
Data Operations Management: Own domains and/or components of the data platform and operational processes.
Analyze incidents and platform performance metrics to drive incident response excellence.
⁠Data Pipelines/Ingestion: Design and implement scalable and efficient data pipelines for various data types (structured, semi-structured, and unstructured) from various sources, including databases, APIs, and third-party services.
Security and Compliance: Contribute to risk management with Security and Compliance to define potential solutions (i.e., threat modeling, control design and testing, evidence collection for audits, and continuous compliance automation) and new technology.
Assess controls to meet healthcare data security requirements. Conduct recuring access audits/reviews.
FinOps: Contribute to cost governance, usage showback/chargeback reporting, chargeback agreements, etc.
Documentation and Training: Create comprehensive documentation of solutions and operations processes. Conduct training sessions for internal teams on operational protocols and best practices.
Collaboration: Work closely with cross-functional teams and lead discussions on platform capabilities and operational processes/standards.
Innovation: Evaluate and recommend new tools and technologies to enhance the cloud data platform's capabilities. Apply Systems Thinking to designs and solutions.