Data Architect
$116k - $185kLunds & Byerlys
Join Lunds & Byerlys as a Full-Time Data Architect and immerse yourself in an innovative environment that values excellence and teamwork. Located in Edina, this onsite position offers you the unique opportunity to shape data architecture strategies that directly impact our customer-centric grocery business. Collaborate with talented professionals who are committed to problem-solving and driving results in a flexible workplace. The pay range for this opportunity is $116,000-$185,000 per year based on experience.
Our Commitment to You Lunds & Byerlys is committed to taking care of the employees who take care of our customers. We are committed to creating work environments centered around the values of hospitality, teamwork, and opportunity. Lunds & Byerlys is committed to providing equal opportunities to all interested and qualified candidates. Our culture is based in teamwork, innovation, and respect. These words are not just tossed around. They are at the core of who we are as a Star Tribune Top Workplace 2019-2025.This position is eligible for a comprehensive benefits package designed to support the physical, mental, and financial well-being of our team members. Our benefits include competitive medical, dental, and vision coverage, along with various health spending and savings accounts. We provide supplemental free on-demand healthcare and generous paid time off. Additionally, team members can take advantage of 401(k) matching and other value-added benefits focused on overall health and wellness. JOB SUMMARY This position leads the design and delivery of scalable, flexible, and cost-effective cloud-based data solutions to support the organization's enterprise data and business intelligence needs. Responsibilities include translating complex business requirements and unique organizational challenges into strategic information architecture, guiding the implementation of a new data warehouse, and establishing a robust foundation for enterprise reporting and analytics. The role critically informs and designs change initiatives related to information systems, ensures data integrity and accessibility across platforms, and drives the development of long-term, sustainable data solutions that enable informed decision-making and organizational success. ESSENTIAL DUTIES & RESPONSIBILITIES The following description of work to be performed by this individual is not intended to be all-inclusive. Rather, it focuses on the major tasks that must be accomplished. There are many necessary activities to satisfy any of the following performance guidelines.
- Provide assistance to all Lunds & Byerlys team members modeling company customer service standards at all times
- Lead solution architecture rebuild efforts and ongoing optimization design for data warehouse
- Support organizational change management efforts related to data initiatives, including rollout of data governance program and supporting processes
- Provide technical project leadership from architecture to delivery of solutions for data-rich implementations
- Evaluate new applications utilized to access data in various functional areas of the business, partnering and collaborating effectively with others
- Document architecture solutions for multiple audiences
- Define enterprise data standards (glossary, KPI catalog, CDEs), establish data quality and access controls, and deliver governed semantic models and dashboards that become the "one version of truth" for leadership and business teams
- Define and document best practices for data process, including ETL processes, data storage, and data cleansing, to support integration, data sharing, analysis and business intelligence solutions
- Partner in development of roadmap for data initiatives
- Identify opportunities for process improvement and/or optimization across greater organization to streamline workflow and create efficiencies
- Lead requirements review process to understand business functionality impacts to methodological changes to business processes
- Partner with development team and technical services team to support change implementation
MINIMUM QUALIFICATIONS
- Education
- Bachelor's degree in Computer Science, Information Systems or related field or equivalent experience
- Experience
- 7 or more years' of experience architecting enterprise data solutions, including implementation of new solutions or rebuild/overhaul of current solutions
- Experience architecting cloud data solutions across multiple technologies, including Snowflake
- Strong ability to work with different databases and platforms
- Experience working with many different types of data, including Financial, Marketing, PII, PCI, and PHI
- Demonstrated knowledge of the appropriate database structures used to support different data
- Experience identifying operational issues and recommending and implementing strategies to resolve problems
- LFHI Competencies expected of all employees include: Action Oriented, Customer Focus, Instills Trust, Communicates Effectively, Ensure Accountability, and Values Differences
- Other required Knowledge, Skills, and Abilities:
- A service-oriented individual with a high energy, positive and friendly demeanor
- Strong customer service, interpersonal, communication and problem solving skills
- Superior technical leadership and innovative problem-solving abilities
- Excellent attention to detail and effective organizational skills
- A motivated self-starter with the ability to balance working independently and being a collaborative team member
- Strong organizational leadership, with demonstrated experience as a change agent
- Ability to succinctly communicate complex principles, ideas, analyses and solutions to team members across all levels of the organization
- Ability to respond to continually changing priorities and coordinate multiple projects
- Ability to read, write, speak and comprehend English
READY TO JOIN OUR TEAM? If you think this job aligns with your requirements, then submitting an application is simple. Good luck! Compensation Disclaimer The actual rate of pay offered within the range may depend on several factors such as skills, knowledge, expertise, and experience. Our organization also values internal equity when making job offers. Hiring at the maximum of the range is not typical.
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