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Jobs or company...
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Databricks Architect - Minneapolis, MN (Onsite)

Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Role: Databricks Architect

Location: Minneapolis, MN (Onsite)

Duration: Long-Term

Job Description:

  • Lead the design, implementation, and optimization of the Databricks platform.
  • Develop and maintain an optimized platform for performance, scalability, and reliability.
  • Collaborate with cross-functional teams to understand business requirements and provide technical solutions.
  • Design and implement data pipelines, ETL processes, and data models.
  • Implement security measures to ensure data privacy and compliance.
  • Troubleshoot and resolve performance issues, system errors, and data inconsistencies.
  • Manage the Team and provide guidance and mentorship to junior team members.

Key Skill Sets:

  • Strong experience with Databricks platform and related technologies.
  • Proficient in programming languages like Python, Scala, or SQL.
  • In-depth knowledge of Apache Spark and its ecosystem.
  • Familiarity with cloud platforms like AWS or Azure.
  • Strong understanding of data engineering principles and best practices.
  • Experience with data modeling, data warehousing, and data integration techniques.
  • Excellent problem-solving and analytical skills.
  • Good communication and collaboration skills.
  • Experience with Snowflake data platform (good to have).

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 5 years of experience in data engineering or architecture roles.
  • Hands-on experience with Databricks platform and Apache Spark.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Experience with healthcare or medical device industry.
  • Certifications in Databricks or related technologies.
  • Knowledge of data governance and data quality frameworks.
  • Knowledge of data governance and data quality frameworks.

Focus Areas:

  • Design and optimization of Databricks platform.
  • Performance, scalability, and reliability of the platform.
  • Team management and leadership.
  • Data pipelines, ETL processes, and data modeling.
  • Security and compliance measures.
  • Troubleshooting and issue resolution.
  • Mentoring and team collaboration.

Thanks & Regards Baji Hussain

Sr. US IT Recruiter

Phone:

Email:

LinkedIn:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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