Data Engineering - Manager

• Client Engagement & Relationship Management:
• 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 and delivery.
• Collaborate with crossfunctional 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 highquality output.
• Team Leadership & Development:
• Lead mentor and manage a team of data engineers fostering a collaborative and highperformance 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 highquality 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.
• Business Development & Consulting:
• Support business development efforts by contributing to proposals presenting solutions to prospective clients and identifying opportunities for expanding client engagements.
• Provide thought leadership in data engineering contributing to white papers webinars and conferences to enhance the company s reputation in the industry.

• 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 problemsolving skills and the ability to handle complex ambiguous situations.
• Exceptional project management skills with experience in Agile methodologies.
• A clientservice 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.

consulting,innovation,team leadership,team management,virtual collaboration,business development,problem-solving,data engineering,agile,agile methodologies,quality assurance,communication skills,technical leadership,client engagement,relationship management,development,delivery,project management,data governance