Data Engineering Manager

Data Engineering Manager

We are seeking a Data Engineering Manager to oversee the design, development, and maintenance of our data infrastructure and pipelines. The ideal candidate will have a strong technical background in data engineering, excellent leadership skills, and a commitment to data security and compliance.

• Lead and mentor a team of data engineers, promoting a culture of collaboration and excellence.
• Design and implement robust data architectures and pipelines to support analytics and business intelligence, while ensuring data security protocols are followed.
• Collaborate with cross‑functional teams to define data requirements and ensure data availability and integrity.
• Oversee data quality management, ensuring accuracy and reliability of data across systems.
• Establish and enforce data security policies and best practices to protect sensitive information.
• Drive the adoption of best practices in data engineering, including data modeling, ETL processes, and data governance.
• Manage project timelines, ensuring that data engineering initiatives align with business goals.
• Stay current with industry trends and emerging technologies to enhance our data capabilities.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• More than 12 years of experience in software development, with at least 5 years in a leadership role.
• Proficiency in data engineering tools and technologies (e.g., Microsoft SQL Server, Databricks, No
  
  SQL‑Mongo
  
  DB, or Dynamo
  
  DB).
• Strong understanding of ETL processes, data warehousing, and data modeling (e.g., Apache Kafka, Microsoft Azure Data Factory, Snowflake).
• Experience with cloud platforms (AWS or Azure) and data pipeline orchestration tools (e.g., Apache Airflow).
• Excellent problem‑solving skills and attention to detail.
• Strong communication and interpersonal skills.

• Familiarity with machine learning concepts and tools.
• Experience in managing and optimizing large‑scale data environments.
• Previous experience in an Agile/Scrum environment.

• Seniority level:
  Mid‑Senior Level
• Employment type:
  
  Full‑time
• Job function:
  Engineering, Information Technology, and Finance
• Industries: IT Services and IT Consulting, Financial Services, and Banking