Data Engineering Lead

My consulting client is looking to bring in a data engineering lead to their expanding AI and Data practice

Data Engineering Lead

Job Summary

The Offering Leader is a senior expert responsible for driving strategic initiatives, providing domain-specific thought leadership, As our Data Engineering Offering Lead you will play a pivotal role in driving data-driven transformation initiatives for enterprise clients. You will be responsible for leading consulting engagements, architecting scalable data solutions, managing teams, and developing client relationships to accelerate business growth. The ideal candidate will possess deep technical expertise in data engineering, strong business acumen, and a proven track record of delivering enterprise data solutions.

Key Responsibilities

Business Development & Commercial Leadership: Identify and develop new business opportunities, expanding client relationships and driving revenue growth. Lead sales efforts, proposal development, RFP responses, and contract negotiations. Shape go-to-market strategies and establish new service offerings in data engineering and analytics. Partner with senior leadership to define growth targets and market positioning. Build and manage senior client relationships, acting as a trusted advisor in data-driven decision-making.

Solution Delivery & Consulting Leadership: Oversee end-to-end execution of consulting engagements in data engineering, analytics, and visualisation. Architect and implement scalable, secure, and high-performance data solutions on cloud and on-premise platforms. Guide teams in data pipeline development, real-time streaming architectures, and data governance best practices. Ensure high-quality project delivery, aligning solutions with client business objectives. Mentor and lead multi-disciplinary teams, fostering technical excellence and client-centric approaches.

Key Competencies

· Business Development: Proven success in developing and closing enterprise deals within data and analytics consulting.

· Technical Expertise: Strong knowledge of data governance, security, and compliance (GDPR,HIPAA, SOC 2). Expertise in AWS, Azure, GCP, Snowflake, Databricks, and big data processing frameworks. Proficiency in SQL, Python, Scala, Java, Spark, and data modelling.

· Client Engagement: Experience in agile project management, stakeholder engagement, and commercial negotiations.

· Leadership & Collaboration: Ability to scale consulting teams and establish digital-first engineering business functions.

· Innovation & Knowledge Sharing: Forward looking, curious and innovative, ability to form insights and drive adoption of new technologies in data & AI