Technical Lead L1
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Job Summary
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes creating replication patterns performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable well-documented deliverables that meet business objectives.
Areas of responsibility
Gathering of requirements-Participate in gathering requirements for specific modules and ensure clear structured documentation. Work across multiple business processes to capture linkages dependencies and required changes.
Solution Design-Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager ensuring alignment with business requirements and technical standards.
Coding and Configuration-Review the developed codes resolve technical queries of the team for the assigned module and create consistent replication patterns to ensure that the developed code aligns with the project with project managers through all phases of software development life cycle.
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors adapt to new hardware and software enhance performance and upgrade interfaces.
Implementation-Collaborate with technical teams to validate configurations facilitate integration of new applications and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
Experience 15 years
Location Melbourne
Client AusSuper
Questions to be asked while sourcing:
- How many years of experience do you have in Azure Data Engineering
- What is the peak team size you have managed
- Have you handled multiple stakeholders across business and technology teams
- Have you worked extensively with Azure Data Factory (ADF)
- Do you have hands-on experience with Azure Synapse Analytics
- Have you worked with Microsoft Fabric
- Do you have strong hands-on experience with PySpark and Python
- Have you designed and delivered enterprise-scale data platforms from scratch
Skills to be looked:
Mandatory Skills |
Microsoft Azure (DataLake ADB ADF ADLS Functions Synapse etc ) |
Hadoop Spark/PySpark / Python |
SQL SQL DataWarehouse |
Knowledge in MS Fabric |
Azure Devops CI/CD and Github Actions Dockers/Kubernetes |
Azure Certifications |
Exposure to any ETL tools |
Coding Skill(MANDATORY) |
Knowledge on Financial / Investment domain |
Communication Articulation & Attitude |
Job Description:
Role Overview
We are seeking a highly experiencedSenior Lead Data Engineerto 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 inSQL Python and PySpark.
- Extensive experience withAzure Data Factory (ADF)andAzure Synapse Analytics.
- Hands-on experience withDelta Lake architectureand modern data lakehouse implementations.
- Advanced knowledge ofData ModelingandData Warehousingconcepts.
- Strong exposure to theMicrosoft Fabricecosystem.
- Proven expertise in designingcloud-native data architecturesand enterprise-scale solutions.
- Strongdesign thinkingand problem-solving capabilities.
- Working knowledge ofCI/CD pipelines and DevOps practices.
- Experience incloud cost optimization performance tuning and resource governance.
Key Responsibilities
- Lead and own theend-to-end delivery of enterprise data platforms including architecture development deployment and optimization.
- Define and drive thedata platform roadmap ensuring alignment with business objectives and strategic priorities.
- Architect and govern scalabledata pipelines data models data warehouses and lakehouse solutionsusing 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 ofMicrosoft Fabric APIs Azure Functions and Python-based solutions.
- Ensure platform scalability reliability security and operational excellence while optimizing cloud costs.
- Establish and enforcedata governance data quality security and compliance standards.
- Implement and driveCI/CD DevOps and Agile delivery practicesacross 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.
- LeverageGitHub Copilot and AI-assisted engineering toolsto improve productivity and solution quality.
- Drive innovation by evaluating emerging technologies and identifying opportunities for platform modernization.
Experience
- 15 yearsof overall IT experience including15 years in Data Engineering.
- Minimum10 years of leadership experiencemanaging 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 withinmulti-vendor and globally distributed delivery environments.
- Strong experience in stakeholder management delivery governance and executive-level communication.
Preferred Skills
- Experience building and managingenterprise APIs and Azure Function Apps.
- Exposure toframework-based data engineering development approaches.
- Experience insolution architecture stakeholder engagement and delivery governance.
- Azure certifications such as:
- Azure Data Engineer Associate
- Azure Solutions Architect Expert
- Familiarity withMLOps Data Science and AI-driven analytics solutions.
- Hands-on experience withPower BIand enterprise reporting platforms.
- Experience leveragingAI and Generative AI capabilities within Data Engineering ecosystems.
Key Leadership Traits
- Strong ownership mindset with a focus on accountability and business outcomes.
- Excellent communication stakeholder management and influencing skills.
- Ability to balancetechnical 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.
Required Experience:
Senior IC
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.
