Data Architect - New Career Bootcamp

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Data Architect

Miller Coors – Milwaukee, WI

Our purpose at the Molson Coors Beverage Company is to delight the world’s beer drinkers. We are the world’s family brewer, brewing and selling our beer for over 350 years around the world. We’re Talent Brewers – we believe in our brands and our people, we believe that a truly inspiring and diverse place to work is a must. We want you to join our team of passionate self-starters who believe the world is full of untapped opportunities. So, if you get fired up about making a real difference as part of a winning team like we do, we want to hear from you.

The Headlines:

In the role of Data Architect working in Milwaukee, WI you will be part of the Data Integration and Management team. The person will partner with business leaders to assess requirements, define strategy, and deliver solution that meets the business’ needs including enterprise-wide data strategy, growing the data dictionary, and building a repository of the enterprise’s data. An ideal candidate will be able to effectively interact and respond to questions from managers, employees, customers and vendors while remaining data-minded.

The Responsibilities:

- Design, develop, deploy, and transition solutions to address business requirements including deciding on integrated data designs
- Construct a single and authoritative repository of the enterprise’s data through conceptual and logical data models
- Engage and oversee consultants and third parties for the fulfillment of duties as well as perform hands-on work designing and developing solutions
- Partner with the business to drive continuous improvement in data governance practices, leading the implementation including leading education programs around data governance and data quality
- Build cross-functional relationships to understand data needs and help projects and agile teams deliver on those needs

The Other Qualifications:

You have a Bachelor’s degree
You have at least 1 year of experience in data architecture, data modeler or a similar role with demonstrated experience in data projects
Experience producing data deliverables for BI or analytics solutions in a data architect, data analyst, or data modeler role, in a large, complex business
Strong understanding of data and information architecture
Direct hands-on experience designing and developing data solutions, particularly in a data architect or data modeler role, sufficient to actually perform these functions in periods of low demand when 3rd parties are not being utilized

Work Perks You Need to Know About:

As the world’s family brewer we have the scale to make big things happen and still get to know colleagues on a first name basis across the globe
We play our part to make a difference – from charitable donations to hitting the streets together to build parks – giving back to the community is part of our culture and who we are.
Access to cool brand clothing and swag, top events, beer allotment
Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental and retirement benefits

Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences

Data Architect

Grow Financial– Brandon, FL 33619

Overview:

At Grow Financial, we believe in service—to our 200,000+ members, 550+ team members and local communities. We know happy, engaged people provide the best service, so we live by our mantra: Be Bold. Be Great. Have Fun. (Especially the fun part!) Yes, our work is serious, but we don’t take ourselves too seriously. Consistently named a Top Workplace by the Tampa Bay Times and a Great Place to Work among 100 Best Medium Workplaces by FORTUNE Magazine®, we cultivate a positive, collaborative work environment where you can grow personally and professionally. In fact, 94% of our team members say Grow is a great place to work. And the most common word they use to describe the Grow culture? Family.

Responsibilities:

The mission of the Data Architect is to facilitate oversight and control for GFFCU leaders and decision makers through data. The Data Architect is responsible for ensuring the consistent and timely centralization and exposition of data resources within the enterprise. This includes conducting all activities related to the research, design, implementation, administration and enhancement of business intelligence, decision support, database management and the enterprise data warehouse systems. This further includes acting as a strategist and advisor to leaders, analysts and developers with the intention of furthering data quality, standards, best practices and uses.

Qualifications:

REQUIRED SKILLS/EXPERIENCE:

Bachelor of Arts/Science degree from an accredited university in the field of computer science, MIS or comparable related technical discipline is required
Five or more years, hands-on experience with database development, modeling and governance within a RDBMS environment required.
Strong SQL programming skills required.
Strong knowledge of database structure systems and data mining.
SSRS, SSAS, SSIS, Tableau Server and/or Tableau Online preferred.
Analytics, BI and/or Data Science related experience a plus.
One-year experience in financial industry helpful.
Must demonstrate superior communication/interpersonal skills and outstanding organizational skills, exercise exceptional independent judgment, effectively prioritize work, and maintain strict confidentiality.
Must be able to work independently and maintain tight schedules.
Must be able to read and speak English.

Enterprise Data- Financial Data Architect – Content Design Specialist

Bloomberg – New York, NY

We’re Bloomberg Enterprise Data – fast paced, innovative and expanding. We have worked hard and smart to become the $1bn business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients are able to get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can’t operate.

What’s the role?

In this role you will be working with the Bloomberg Enterprise Data Product Management Team specifically on Reference, Regulatory, Alternative and Pricing Data. We are constantly improving our products, to make them more feature rich and application ready, whilst reducing the total cost of ownership. Product Managers have a high level of business, communication, and technology skills, so that they can create working prototypes, specify Engineering tasks, and work effectively with Sales and Clients.

You will design, specify, and create prototypes of large and varied data models and data sets, both financial and non-financial, using a wide range of tools, methods and platforms.
We expect you to evaluate areas of interest, understand what is possible and commercially viable, recognize which models and concepts should be applied, and how the data resources should be acquired. An open, creative approach is critical to your success.

Whilst designing data for diverse addressable markets, you will explore and work with a wide range of data, and apply existing methods or develop new methods. You will also engage in data analysis in a practical way, convince business leaders that your results are worth investing in and educate other analysts and business team members.

Most critically, you will deliver the output of your data design to business users (both non-technical and technical) and will be a key person in shaping the product offering and the customer experience.

We’ll trust you to

Operate in an influential business role within a fast growing area
Design and specify commercially attractive products
Grow your business and technology skills
Understand addressable markets
Evaluate what is possible and viable
Take responsibility for the Data Architecture of multiple data sets
Work with Engineering, Sales, and Clients

You need to have:

Experience with financial data
Familiar with specifying and using large structured data models and data sets to solve complex business demands and meet regulatory requirements
Experience with and/or a strong desire to work with: Linked Data, Semantic Web, RDF, RDFS, OWL, SHACL, RDFa, Graph Data, Knowledge Graph, and Knowledge representation and reasoning
Experience with the tools to handle large diverse data sets
Knowledge of large structured data models
Experience in working with Global Teams, across Sales, Technology, Operations and customers
The ability to address multiple priorities in an extremely fast-paced environment.
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future