Data Architect

Essential Duties & Responsibilities

• Develop, support, and optimize the data warehouse to facilitate reporting and analysis of enterprise data.
• Analyze source system data, building processes for data cleansing and proper categorization.
• Translate business processes into logical and physical models to support business requirements.
• Contribute to the data warehouse development lifecycle, including requirements gathering, ETL, database design & development, testing & validation.
• Design and build data structures, processes, and ensure the integrity and quality of data for analysis and reporting.
• Troubleshoot and optimize existing queries and databases.
• Recommend and implement process improvements.
• Maintain data dictionary & documentation.
• Maintain knowledge of current BI tools, methods, and best practices.
• Act as an internal consultant providing technical guidance on business systems projects.
• Determine and resolve problems with other systems analysts, programmers, and systems users.
• Maintain, develop, modify, and document processes according to general specifications and guidelines.
• Provide guidance to lower‑level team members.
• Consult with managerial and systems analysis personnel to clarify intent, identify problems, suggest changes, and determine extent of programming and coding required.
• Revise or direct revision of existing programs to increase operating efficiency or adapt to new requirements.
• Analyze, define, and document system requirements for data, workflow, logical processes, hardware and operating system environment, interfaces with other systems, internal and external checks, controls and outputs.
• Research and evaluate software and hardware to enhance and improve existing processes.
• Perform other duties and special projects as assigned by Senior Management.
• Comply with all applicable federal, state, and local banking and industry related laws and regulations, including but not limited to the Bank Secrecy Act.

None.

• Bachelor’s degree; BS in Computer Science, Management Information Systems or similar preferred.
• At least six years of related experience and/or training with developed expertise in database administration, data architecture or data modeling.
• Experience with cloud data storage technologies such as Snowflake, Databricks, Azure, AWS or similar.
• Knowledge of Microsoft Office products including Word, Excel, Power Pivot, PowerPoint, Access, Outlook.
• General database administration practices.
• Knowledge of data warehousing and data modeling concepts.
• Advanced SQL & database development skills.
• ETL design patterns & best practices experience (e.g., MS Integration Services, Informatica).
• SQL optimization methods & techniques.
• Demonstrated leadership capabilities on sizable projects.

• Ability to work under stress and meet deadlines.
• Ability to travel.
• Capability to lift/move/carry approximately 100 pounds if required; accommodations will be made without undue hardship.

Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.