Director of Data Engineering Intelligence

Company: Sphere Inc. Location: Detroit Employment Type: Full Time

Associate Director of Data Engineering

 

The Data Engineering teams build and maintain the tools, data pipelines and infrastructure that support our client’s data management and analytics needs. Our solutions bring structure to customer systems and customer data across mid-tier and enterprise customers.

We are looking for a Data Engineering Intelligence leader who loves to design, combine and build data systems using best of breed technologies. This role will focus on everything from the requirements and documentation phase (including interpretation of those requirements and coming up with better ideas to do things), DWs deployment, ETL, SSAS and data cube buildings, and deployment of various presentation layer tools. If that describes you, please join us in building scalable platforms for our global customers.  

The right leader must possess a fine balance with their BA skills and deep technical knowledge; a passion for data and enthusiasm for building a strong data foundation for our clients. 

What you will do:

  • Optimize existing and architect from scratch new data platforms to collect, transform and enable clients ease of query and analysis.

  • Integrate and leverage machine learning infrastructure to empower data scientists to more easily gain access to a consistent view of client’s data.

  • Be a subject matter expert on market-leading data trends, technologies tools and their compatible components for data injection, processing and presentation.

  • Conduct business requirements session plans and flows

  • Summarize technical design to non-technical audiences while at the same time providing direction to the delivery team to execute upon

  • Along with the Data Practice Lead, execute on the vision and strategy for the Data Engineering teams

  • Provide thought leadership on data technologies: what are the best practices on identifying, storing, provisioning, processing, and governing data, with particular attention to compliance and security needs

  • Recruit talented individuals to the team.

  • Support the sales team on data services opportunities and conversations with clients

Requirements:

  • Full stack BI development experience. Everything from the E part of ETL through the T and L and all the way through the presentation layer. Data integration experience is a plus.

  • Fluency in a programming language such as Python or Scala, and their respective standard data processing libraries. Python is preferred.

  • Experience working with data lakes and data processing systems that operate across a large organization and that make use of technologies such as Spark, Hive, Presto, Databricks or Snowflake.

  • Skill with stakeholder management to collect and prioritize requests and translate to roadmap 

  • Cube Building, Data Mart building, and dimensional modeling experience. 

  • Bachelor’s Degree in MIS, Business Administration, Computer Science or related field.

 

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