Sr Data Platform Architect

24 hours ago


Columbus, United States Integritas Search Full time

Integritas is working with a network partner to help fill a Senior Data Platform Architect role in Columbus, ON (hybrid).
Contact Ben (ben@integritassearch.com) for more information.

About The Client

The client is passionate about making information more accessible and useful to people worldwide. The team builds cutting-edge technology solutions that tackle complex data challenges at a massive scale. They're committed to fostering a work-life balance, offering a stimulating environment where innovation thrives.

The Role

As a Senior Data Platform Architect, you'll play a pivotal role in shaping the future of the data platform. You'll collaborate with cross-functional teams to design, develop, and optimize solutions that power the core business.

Key Responsibilities:

  • Strategic Vision: Evaluate existing Hadoop ecosystem and identify opportunities for optimization, migration, and modernization.
  • Technical Leadership: Lead the architecture and design of complex data pipelines, data lakes, and data warehouses.
  • Hands-on Development: Contribute to hands-on development efforts, leveraging technologies like Java, Scala, or Python.
  • Problem-Solving: Diagnose and resolve complex technical issues, ensuring system reliability and performance.
  • Collaboration: Work closely with data engineers, data scientists, and business analysts to align technical solutions with business objectives.
  • Innovation: Stay abreast of emerging technologies and trends to drive innovation within the team.
Required Skills and Experience:
  • Master's degree in Computer Science, Engineering, or a related field
  • 10+ years of experience in data engineering, data architecture, or software development
  • Deep expertise in the Hadoop ecosystem (HDFS, YARN, MapReduce, Spark, Hive, HBase, Kafka)
  • Strong proficiency in programming languages like Java, Scala, or Python
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Understanding of data modeling, data warehousing, and data lakes
  • Excellent problem-solving, analytical, and communication skills
  • Ability to lead and mentor teams
Preferred Qualifications:
  • Experience with real-time data processing frameworks (Kafka Streams, Flink)
  • Knowledge of graph databases and graph analytics
  • Experience with machine learning and AI pipelines
  • Understanding of data security and privacy best practices
Why Join Us?
  • Impactful Work: Contribute to projects that have a global impact.
  • Cutting-Edge Technology: Work with the latest technologies and tools.
  • Collaborative Culture: Join a team of talented and passionate individuals.
  • Work-Life Balance: Enjoy a flexible work environment and competitive benefits.

If you're excited about shaping the future of data and technology, you are encouraged to apply.

#ben #infotech
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