Corporate Data Architect

About The Role

Summary:

This role is an experienced Data Architect with a strong focus on designing, implementing, and managing end‑to‑end data platform solutions using Databricks technologies on the Azure cloud. Under the office of the Customer Experience team, which is the home for the enterprise data and analytics function, and working closely with colleagues in IT, this role will support the efforts of the data and analytics team to ensure business value is derived from our data infrastructure in the early development and maturation of our data infrastructure.

This is a Corporate position which may be located in an available bank division across our nine-state footprint in AZ, CO, , MT, NV, TX, UT, WA, or WY. The entry rate for this position is $+ / year (calculated for Kalispell, MT).  to learn more about our bank divisions.

All compensation offers are analyzed individually and take into consideration multiple factors including but not limited to geographic location, years of experience, and educational background.

WA Applicants ONLY: $-$ per year

• Design, build, and document Databricks & Azure-based technical solutions and data products, leveraging a broad range of available toolsets, with considerations around scalability, availability, reliability, maintainability, usability, agility, and securability.
• Act as a team lead on projects, directing the technology process and ensuring expectations are met to build trust and credibility.
• Implement end-to-end data platform solutions and support existing data lakehouse, which will include hands‑on-keyboard engineering and development work.
• Serve as an effective technical mentor to more junior teammates and communicate efficiently and effectively with a variety of stakeholders in the business and IT departments.
• Keep abreast of emerging trends, technologies, and capabilities, within Databricks and otherwise, and continue to grow and develop the architectural skillset.
• Must comply with all company policies and procedures and all applicable laws and regulations, including but not limited to, the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control. Must complete the assigned online training courses and achieve a passing score by due date.

Required:

Bachelor’s Degree in Computer Science, Mathematics, or similar field with a significant quantitative component.

Required:

7 years building data solutions on cloud platforms, strong focus on Microsoft Azure and Databricks environments.

Required:

3 years architecting data solutions on Databricks (any cloud).

Required:

Expert Experience with full life‑cycle implementations of data platforms, designing data pipelines using Azure Data Factory and Databricks workflows.

Required:

Expert Experience developing data capabilities using SQL and Spark.

Required:

Advanced Experience with Java, Python, or C/C+. (Python preferred.)

Required:

Advanced Experience with Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Synapse Analytics, Azure Dev Ops, and provisioning and configuring end‑to‑end Azure data services.

Preferred:
Advanced Experience in banking or similar financial services industry.

• The ability to motivate or influence internal or external senior level professionals is a critical part of the job, requiring a significant level of influence and trust. Obtaining cooperation and agreement on important outcomes via frequently complex, senior level dialogues, as well as a professional level of written communication skills are essential to the position.
• Exceptional communication skills, with the ability to talk to every level, from C-level executives to front-line employees.
• Ability to create data modernization roadmaps, leveraging deep technical knowledge of Databricks and Microsoft Azure tools to meet complex business and IT needs.
• Ability to manage compute/storage needs on Databricks (eg. cluster definitions, etc.).
• Ability to develop and improve metadata management frameworks, alerting and monitoring capabilities, event-driven orchestration capabilities, and related data pipeline features.
• Implement modern data architectures…