Lead Data Engineering Manager
1 day ago
The estimated salary for this role is $180,000 - $250,000 per year, depending on location and experience. This figure is based on industry standards and the level of expertise required for the position.
Key Responsibilities:
- 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 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.
- 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.
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