- Lead the design of architectural roadmaps, database, data access and data technology architectures
- Provide expertise on the overall data eco-system's engineering best practices, standards, architectural approaches, and complex technical solutions
- Develop, present, and explain the value and vision of proposed architectures and solutions to a wide range of audiences
- Formulate best practices and organize processes for data management, governance, and evolution
- Evaluate existing data platform and create a data modernization roadmap
- Design and implement solutions to meet business and IT needs, ensuring technical viability of new projects, successful deployments, orchestration of key resources and adoption of key data technologies (e.g. Azure Data Services like Azure SQL DB, Cosmos DB, Azure SQL DW, and SQL Server)
- Deploy enterprise data models for multiple functional areas and mentor others for non-enterprise data modelling
- Partner with Visualization Hub leader to define best practices for Data Analytics toolsets across Apogee
- Partner with business and peers to develop business requirements for new requests, including project concept, scope, benefit, budget, and timelines
- Engage with Data Platform customers/partners to understand their needs and provide suggestions/guidance on what data platform techniques are appropriate to solve their problems with pros/cons articulated clearly
- Mentor Business Analysts / Engineers in the completion of assigned projects and project tasks.
- Work with IT across the technology organization to deliver the strategy through clear leadership/direction, influence, and integration with agile development processes
- Undergraduate degree (Computer Science, MIS or equivalent) with certification or advanced degree in data analytics
- 3+ years of experience in cloud architecture and scaling data transformations
- 7+ years of experience in design and implementation of enterprise data store, data warehouse, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, in tools such as Azure Synapses or Snowflake
- Experience with data ingestion and visualization capabilities, such as Microsoft Azure (ADF) and Power BI
- Expertise in metadata management, ETL processing, reference data management.
- Experience in data application/platform instrumentation, measurement, log data processing, and monitoring.
- Experience with scripting, automation and SQL/PL-SQL and high-level languages such as Python and Java.
- Ability to understand strategic and business objectives and how they might impact the business process design and requirements
- Ability to identify conflict and assist others in conflict resolution in a positive manner to help the project move forward
- Demonstrated analytical and problem-solving skills
- Ability and desire to mentor and coach others
- Proactive, self-managed and detail-oriented
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Data Architect - Minneapolis, United States - Apogee Enterprises Inc
Description
Apogee Services Inc.Position Summary
In this highly visible role, this individual will provide key leadership on all aspects of the company's data platform. The Data Architect will implement architectural standards and frameworks across software, quality, and infrastructure teams as technology emerges and as the business requires.
Responsibilities
Provide Architectural leadership and vision for Apogee's Data Platform and Data Lake:
Evolve the enterprise data analytics platform and related capabilities:
Design and implement data solutions to meet business requirements:
Mentor Team Architects, Engineers, and Analysts:
Experience & Skills
Experience:
Required Skills:
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Apogee and our brands are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by state or federal law.
Apogee Enterprises, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.