Database Architect/Management V - Azure Databricks

Kaiser Permanente•Oakland, CA

33d

About The Position

Overview: Interacts and consults with cross-functional stakeholders to understand needs for KP Sales & Marketing Experience (KPx) Platform-s priorities (epics, features, stories) as a member of the integrated KP Sales & Marketing Experience Platform-s DevOps team. Interprets requirements to align with technical architecture and development priorities, developing them into agile requirements. Designs and architects database models and schemas for the KPx Platform-s unified profile, activation, reporting, and analytics solutions in collaboration with the development team and partners to align data architecture and regulatory requirements. Ensures quality, validation, and efficiency of solutions through ongoing performance and scalability optimizations, while championing and enforcing modern best practices and standards-enterprise-wide and industry-recognized-in data management, architecture, and warehousing to guarantee consistency, reliability, and compliance. Job Summary: This individual contributor is primarily responsible for driving strategic data-informed decisions, driving efforts to ensure data and resources are available to users in an orderly and secure way through data provisioning and ongoing security, and analyzing and developing database designs, data models, and relational data definitions in support of systems requirements. This position provides ongoing database support, maintenance, and troubleshooting, drives data strategy efforts, and designs, implements, and automates business and reporting solutions.

Responsibilities

Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback.
Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.
Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Drives efforts to ensure data and resources are available to users in an orderly and secure way through data provisioning and ongoing security by translating business analytics needs into data access requirements; creating, preparing, and enabling systems to provide data to users; granting users access to data repositories or systems, applications, and databases based on a unique user identity; managing and monitoring data access on an ongoing basis; tracking and documenting version control; designing and generating tracking and monitoring tools; tracking and reporting on data access; and ensuring data provisioning efforts adhere to IT compliance standards, policies, and procedures.
Provides ongoing database support, maintenance, and troubleshooting by identifying and fixing problems; locating and correcting oversights; ensuring the database meets expectations; identifying trends in the database users; ensuring optimized database performance; recommending new ways to improve the existing database; and scheduling times for upgrades and repairs for minimal impact to the company.
Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
Analyzes and develops database designs, data models, and relational data definitions in support of systems requirements by assessing the current data infrastructure; identifying areas in need of change; determining how the database should look and function; scoping the database using the ETL Architecture Standards; developing code to create the database; creating database security standards; and testing and maintaining data integrity across multiple internal and/or external databases.
Drives data strategy efforts by ensuring proper identification and representation of content; determining optimal data storage methodologies; ensuring data are packaged in a way to be reused and shared; developing and ensuring adherence to data rules and access guidelines; determining best strategy for combining data residing in disparate systems into a unified, consistent data view; and establishing, managing, and communicating information policies and mechanisms for effective data usage.

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