Manager Data Engineering

About Company

Experience Candidates Should Bring

• 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment.
• Proven experience in managing multiple, complex data engineering projects simultaneously.
• Experience in leading a team of 8 to 12 professionals.
• Strong problem-solving skills and the ability to handle complex, ambiguous situations.
• Exceptional project management skills, with experience in Agile methodologies.
• A client-service mindset and a desire to take on tough and challenging projects.
• Effective communication skills, both written and verbal.
• Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment.
  

About The Role

• Overall professional experience of the candidate should be above 8 years.
• A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space.
• Should have good understanding of business operations, challenges faced, and business technology used across business functions.
  

Key Responsibilities

• Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.
• Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.
• Translate client requirements into actionable technical solutions and project plans.
  

Project Management & Delivery

• Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.
• Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.
• Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.
  

Technical Leadership & Innovation

• Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.
• Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.
• Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.
  

Team Leadership & Development

• Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.
• Provide professional development opportunities, coaching, and career growth support to team members.
• Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.
  

Data Governance & Quality Assurance

• Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.
• Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.