Solutions Architect

4 hours ago


cincinnati, United States Ascendum Solutions Full time

Databricks Architect


What You’ll Do

  • Architect and design solutions to meet functional and non-functional requirements.
  • Lead the design, implementation, and optimization of our Databricks platform.
  • Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
  • Develop and maintain a comprehensive understanding of our data pipeline and data architecture.
  • Collaborate with other teams to ensure that our Databricks platform is integrated with our other systems and technologies.
  • Deliver hands-on implementation of Databricks and associated cloud infrastructure using best practices around infrastructure as code and DevOps
  • Create and review architecture and solution design artifacts.
  • Evangelize re-use through the implementation of shared assets.
  • Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
  • Proactively guide engineering methodologies, standards, and leading practices.
  • Guidance of engineering staff and reviews of as-built configurations during the construction phase.
  • Provide insight and direction on roles and responsibilities required for solution operations.
  • Identify, communicate, and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle.
  • Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans.
  • Demonstrate strong analytical and technical problem-solving skills.
  • Ability to analyze and operate at various levels of abstraction.
  • Ability to balance what is strategically right with what is practically realistic.


What You’ll Bring

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Proven track record with 8+ years of experience in data warehousing, cloud architecture, and data integration, with at least 3 years focused on Databricks.
  • Hands-on experience implementing the Databricks platform in a production environment using infrastructure as code and DevOps
  • Proficiency in Python, SQL, data modeling, ETL processes, and familiarity with Azure cloud platforms.
  • Hands on experience building data engineering solutions using Microsoft Azure stack, including Azure Databricks, Azure Data Factory, Azure Event Hub, and Azure DevOps.
  • Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Experience in full development lifecycle of Machine Learning is a plus.
  • Familiarity with Agile/SCRUM development methodologies and software development lifecycle principles.


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