We are seeking a highly experienced
Senior Lead Data Engineer
to drive the strategy, architecture, delivery, and optimization of enterprise-scale data platforms on Microsoft Azure. The ideal candidate will combine deep technical expertise with strong leadership, stakeholder management, and delivery governance capabilities to build scalable, secure, and cost-efficient data solutions.
Must-Have Skills
Strong expertise in
SQL, Python, and PySpark
.
Extensive experience with
Azure Data Factory (ADF)
and
Azure Synapse Analytics
.
Hands-on experience with
Delta Lake architecture
and modern data lakehouse implementations.
Advanced knowledge of
Data Modeling
and
Data Warehousing
concepts.
Solid exposure to the
Microsoft Fabric
ecosystem.
Proven expertise in designing
cloud-native data architectures
and enterprise-scale solutions.
Strong
design thinking
and problem-solving capabilities.
Working knowledge of
CI/CD pipelines and DevOps practices
.
Experience in
cloud cost optimization, performance tuning, and resource governance
.
Key Responsibilities
Lead and own the
end-to-end delivery of enterprise data platforms
, including architecture, development, deployment, and optimization.
Define and drive the
data platform roadmap
, ensuring alignment with business objectives and strategic priorities.
Architect and govern scalable
data pipelines, data models, data warehouses, and lakehouse solutions
using Azure services.
Provide technical leadership to Data Engineering teams through design reviews, code reviews,



and implementation of engineering best practices.
Drive the adoption and implementation of
Microsoft Fabric, APIs, Azure Functions, and Python-based solutions
.
Ensure platform scalability, reliability, security, and operational excellence while optimizing cloud costs.
Establish and enforce
data governance, data quality, security, and compliance standards
.
Implement and drive
CI/CD, DevOps, and Agile delivery practices
across the data engineering landscape.
Collaborate with business stakeholders, architects, and technology teams to translate business requirements into scalable technical solutions.
Mentor, coach, and develop Data Engineering talent, fostering a culture of continuous learning and innovation.
Leverage
GitHub Copilot and AI-assisted engineering tools
to improve productivity and solution quality.
Drive innovation by evaluating emerging technologies and identifying opportunities for platform modernization.
Experience
15+ years
of overall IT experience, including
15+ years in Data Engineering
.
Minimum
15+ years of leadership experience
managing large-scale Data Engineering programs and teams.




Proven track record of leading cross-functional teams and delivering complex enterprise data transformation initiatives.
Experience building, hiring, and scaling high-performing Data Engineering teams.
Experience working within
multi-vendor and globally distributed delivery environments
.
Strong experience in stakeholder management, delivery governance, and executive-level communication.
Preferred Skills
Experience building and managing
enterprise APIs and Azure Function Apps
.
Exposure to
framework-based data engineering development approaches
.
Experience in
solution architecture, stakeholder engagement, and delivery governance
.
Azure certifications such as:
Azure Solutions Architect Expert
Familiarity with
MLOps, Data Science, and AI-driven analytics solutions
.
Hands-on experience with
Power BI
and enterprise reporting platforms.
Experience leveraging
AI and Generative AI capabilities within Data Engineering ecosystems
.
Strong ownership mindset with a focus on accountability and business outcomes.
Excellent communication, stakeholder management, and influencing skills.
Ability to balance
technical leadership with delivery and people management responsibilities
.
Strategic thinker with a strong focus on execution excellence.
Strong conflict resolution and cross-functional collaboration skills.
Adaptability and resilience in fast-paced, evolving environments.
Passion for mentoring teams and fostering a culture of innovation and continuous improvement.
#J-*****-Ljbffr

📌 Lead Data Engineer (Melbourne)
🏢 Wipro
📍 Melbourne