Lead data engineer / azure tech lead

About Kagool
Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.
Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.
Role Overview
We are looking for a Lead Data Engineer / Azure Tech Lead who will drive end-to-end data architecture, client engagement, and delivery leadership. This is a hands-on leadership role combining technical depth, solution design, and team/project ownership.
Key Responsibilities
Define and own data architecture and solution design on Azure
Lead end-to-end delivery of data engineering projects
Act as primary technical point of contact for clients/stakeholders
Drive requirement gathering, solutioning, and technical discussions
Lead and mentor a team of data engineers (5–15 members)
Ensure best practices in data governance, security, and scalability
Design and implement lakehouse, real-time, and batch pipelines
Own project delivery, timelines, and quality
Collaborate with cross-functional teams (architects, business, Dev Ops)
Drive innovation and adoption of modern data technologies
Required Experience (10–15 Years)
10+ years in data engineering, data platforms, or data architecture
10+ years deep experience in Azure ecosystem
Proven experience in:
Data architecture and solution design
Leading large-scale data projects
Client interaction and stakeholder management
Strong hands-on expertise in:
ADF, ADLS, Synapse
Azure Databricks (mandatory)
Experience leading teams and managing project deliveries
Exposure to global/enterprise data programs
Mandatory Certifications:
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Databricks Professional Certification (Data Engineer or Architect track)
Required Skills
Azure Data Architecture & Platform Design
Strong leadership and delivery ownership
Client engagement & stakeholder management
Data governance & security frameworks
Big data (Spark, streaming, real-time pipelines)
Dev Ops / Data Ops
Cost optimization & performance tuning
Preferred Candidate Profile
Immediate joiner strongly preferred
Prior consulting / client-facing experience
Proven leadership in data engineering projects
Strong decision-making and ownership mindset
Career at Kagool
A career at Kagool offers a progressive and growth-focused environment where talented professionals can work on meaningful enterprise transformation programmes. Employees have plenty of opportunities to collaborate with global teams, contribute to innovative solutions, and develop expertise across modern data, cloud, SAP, AI, and analytics technologies. We encourage continuous learning, upskilling, and career progression, giving team members the opportunity to take ownership, expand their capabilities, and grow along with the business.