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