SUMMARY: Everest client seeks a highly motivated leader and problem-solver who works cross functionally across various departments. This role is responsible for developing and executing the company’s data engineering vision, ensuring that data infrastructure, architecture, and platforms support business growth, innovation, and digital transformation. Your expertise in data, analytics, and technology will be instrumental in ensuring that we remain competitive, secure, and adaptable in a rapidly evolving business landscape. The primary focus will be on solving business problems and driving results through advanced analytics.

 Responsibilities:

• Define and implement the data engineering strategy.
• Develop and align data engineering strategies with business objectives.
• Collaborate with stakeholders to establish data governance and access control policies.
• Supervise the design, development, and maintenance of data pipelines and architectures using Azure Data services.
• Work with cross-functional teams to ensure data solutions meet business needs.
• Ensure data quality, integrity, and security across all platforms.
• Foster innovation and continuous improvement in data engineering practices.
• Manage budgets, resources, and timelines for data engineering projects.
• Stay informed about the latest trends and advancements in data engineering.
• Maintain data quality and integrity for analytical purposes.
• Demonstrate excellent problem-solving skills and the ability to work under pressure.
• Exhibit strong communication and interpersonal skills for effective cross-functional collaboration.
• Proven ability to deliver impactful data-driven solutions and lead teams effectively.

Requirements:

• Bachelor's or Master’s degree in computer science, Data Engineering, Engineering or a related field.
• 10+ years of experience in data engineering, with at least 5 years in a leadership role.
• Expertise in Microsoft Azure Data services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).
• Strong understanding of data architecture, data modeling, and ETL processes.
• Proven experience in managing large-scale data projects and teams.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work in a fast-paced, dynamic environment.
• Project Management, Agile Development, Full-Stack Azure with certifications from Azure, Databricks, Snowflake
• Experience with other Microsoft Technologies (Microsoft Fabric, Power BI, Azure Data Ops).
• Certification in Microsoft Azure.

JOB CODE: 1000283