Description

Responsibilities:

  • Define and implement the overall data architecture strategy, aligned with business objectives and industry best practices.
  • Design, develop, and maintain a robust and scalable data platform on the Azure cloud, leveraging services such as Azure Data Factory, Databricks, Azure Synapse Analytics, Azure Data Lake Storage, and more.
  • Collaborate with business stakeholders to understand data requirements, translate them into technical specifications, and deliver data solutions that meet their needs.
  • Ensure data quality, integrity, and security through the implementation of appropriate data governance and compliance measures.
  • Develop and maintain data pipelines for efficient data ingestion, transformation, and loading into data warehouses and data marts.
  • Optimize data platform performance and cost-efficiency through continuous monitoring and improvement.
  • Provide technical leadership and mentorship to data engineers and analysts.
  • Stay up-to-date with emerging data technologies and trends.

 

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 8+ years of experience in data architecture and engineering.
  • Proven expertise in designing and implementing data platforms on the Azure cloud.
  • Strong knowledge of data warehousing, data modeling, and ETL/ELT processes.
  • Experience with data integration and migration projects.
  • Proficiency in SQL and Python programming.
  • Familiarity with data visualization tools (Power BI, Tableau, etc.).
  • Strong understanding of data governance and compliance regulations.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:

  • Advanced degree in Computer Science or related field.
  • Certifications in Azure data-related technologies.
  • Experience in building enterprise scale data platform for the energy sector. 
  • Experience with NetSuite, eMaint, and Peloton systems.
  • Knowledge of cloud-native data platforms and big data technologies.
  • Experience with data science and machine learning


 

Education

Any Graduate