Data Engineering Solutions Architect Full Time - Onsite Minneapolis, MN We are seeking Local Candidates Only About the Role As a Data Engineering Solutions Architect, you will play a pivotal role in designing and implementing robust data platforms that meet our clients' needs. Your expertise will help guide organizations in establishing effective data strategies and ensuring data governance and quality.
Key Responsibilities - Design, implement, and deploy scalable data platforms in both public and private cloud environments.
- Assist clients in developing their data strategy, focusing on data governance, architecture, and quality management.
- Educate clients on emerging technologies and best practices in data and analytics.
- Lead discovery sessions to understand business challenges and recommend appropriate technical solutions.
- Define best practices for development processes, platforms, and tools for data acquisition, storage, transformation, and analysis.
- Develop comprehensive roadmaps for data and analytics initiatives.
- Review and audit existing solutions and architectural designs.
- Create detailed architecture documentation and deliver impactful presentations.
- Effectively communicate technical solutions to stakeholders at all levels, from C-suite executives to engineering teams.
Qualifications - Minimum of 10 years of experience in Solution Architecture with a strong focus on data & analytics.
- In-depth experience with Databricks and cloud data platforms.
- Proven ability to design, develop, and maintain enterprise-scale data solutions.
- Strong knowledge of big data technologies such as Snowflake, Apache Spark, Kafka, and various AWS, Azure, and GCP services.
- Extensive experience with large-scale implementation projects driven by client needs.
- Proficiency in programming and scripting languages like Java, Python, or Scala.
- Familiarity with Data Science and Analytics tools including Machine Learning and Deep Learning techniques.
- Deep understanding of Agile methodologies and software development lifecycle practices.
- Expertise in data platform architecture and maintenance.
- Comfortable in consulting roles, leading technical teams, and managing projects.
- Familiarity with design patterns, refactoring, unit testing, and CI/CD processes.
- Hands-on experience with performance tuning, optimization, and bottleneck analysis.
If you are passionate about transforming data into actionable insights and thrive in a dynamic environment, we encourage you to apply.
To apply, please send your resume to: