Data Architect (Hybrid)

Description

Summary :

We are seeking a skilled and experienced data architect to join our dynamic team. The successful candidate will play a crucial role in architecting robust data solutions while also providing support to our Business Intelligence (BI) team in data source development.

This is a unique opportunity to contribute to the design and implementation of cutting-edge data architectures while collaborating closely with business analysts and BI professionals to ensure the seamless delivery of actionable insights.

Responsibilities Include :

Data Architecture

Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient data architecture solutions

Design and implement data models, ensuring data integrity, accuracy, and optimal performance

Devise and maintain modern data architecture to grow the company’s capabilities and advance data strategy

Assist with Internet of Things (IoT) system designs and digital twin solutions

Evaluate and recommend data storage solutions, considering security, scalability, and cost effectiveness

Develop and maintain documentation for data architecture, including data flow diagrams, models, and dictionaries

Stay abreast of industry trends and emerging technologies to improve data architecture practices continuously

DevOps

Leverage Agile, CI / CD, and DevOps methodologies to deliver high-quality products

Implement DevOps pipelines, artifacts, and test plans in a repo-based framework

Automate and standardize cloud deployments through scripting and templates

Business Intelligence Support

Work closely with business intelligence analysts to understand reporting and analytics requirements

Develop data sources to support BI reporting, helping ensure data accuracy and reliability

Collaborate with the BI team to optimize and tune queries for improved performance

Troubleshoot and resolve data-related issues in collaboration with relevant stakeholders

Provide technical expertise in developing dashboards, reports, and other BI artifacts

Data Governance and Security

Develop, implement, and enforce data governance best practices to best ensure data quality, compliance, and security

Collaborate with IS leadership and security teams to implement and maintain data access controls and encryption mechanisms

Conduct regular audits to ensure adherence to data governance policies and standards

Collaboration and Communication

Work closely with business stakeholders, data scientists, and other teams to understand their data requirements

Communicate effectively with technical and non-technical audiences, translating complex technical concepts into understandable terms

Participate in cross-functional meetings to gather insights and contribute to data-driven decision-making processes

Minimum Qualifications :

Bachelor's degree in computer science, information technology, or a related field

8 years of related work experience

Strong proficiency in data modeling, database design, and data warehouse architecture

Experience with DevOps methodologies, processes, and tools (agile, CI / CD, Azure DevOps, Repos, etc.)

Development experience using Azure or other cloud platforms

Solid understanding of data governance principles and practices

Ability to communicate technological concepts and details to various audiences

Strong analytical and problem-solving skills and exceptional accuracy and attention to detail

Self-initiative and motivation, including proven history of, and passion for, continuous self-initiated learning

Exceptional client service

Strong organization and prioritization skills with the ability to manage competing priorities and meet project commitments

Legal authorization to work in the United States without the need for sponsorship from Barr, now or in the future

Preferred Qualifications :

Experience with serverless architectures, Azure Storage, Azure SQL DB / DW, Data Factory, Azure Stream Analytics, Azure Analysis Services, HDInsight, or AWS equivalents

Experience in API development, data integration, data quality and engineering, ELT and ETL processes

Experience integrating complex applications and data across a hybrid environment

Experience with ETL technologies such SSIS, DataStage, or Data Factory

Experience with data visualization tools such as SSRS, Power BI, Tableau, or Micro Strategy

Microsoft certifications are a plus

A hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office.

This position can be based out of Barr's Ann Arbor, Bismarck, Denver, Duluth, Grand Rapids, Hibbing, Jefferson City, Minneapolis, or Salt Lake City offices.

Colorado Applicants Only :

Compensation :

The anticipated base salary range for this position is $105,000 - 130,000 / year. Compensation will vary based upon experience, education, skill level, and other compensable factors.

Employees in this position may also be eligible for a discretionary cash bonus. Our compensation comes in more ways than traditional base salary, and we believe that when all those elements are combined, our compensation is a competitive part of the total value proposition of working at Barr.

Benefits :

People report that they stay at Barr because of the camaraderie and career opportunities. Another draw is our competitive package of employee benefits, which includes professional development funding, 401(k) retirement savings plan, employee stock ownership plan (ESOP) participation, medical and dental insurance, life insurance, disability and accidental death insurance, flexible spending accounts for healthcare and dependent care expenses, paid holidays, paid time off, and compensatory time for exempt / salaried staff (time off or pay for extra time worked).

LI-Hybrid

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.