Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
We are seeking an experienced Data Engineering Lead with deep expertise in Azure Data Services, Azure Synapse Analytics, and Azure Databricks to design, build, and lead the development of scalable, end-to-end data pipelines. The role involves owning the data architecture from source ingestion to consumption layers, ensuring high performance, reliability, and data quality while mentoring a team of data engineers.

Key Responsibilities :
1. Lead the design, development, and optimization of end-to-end data pipelines from multiple source systems to analytics and reporting layers
2. Architect and implement modern data platforms on Azure using:
Azure Data Factory / Synapse Pipelines
Azure Synapse Analytics (Dedicated & Serverless SQL pools)
Azure Databricks (Delta Lake, Spark)
Azure Data Lake Storage (ADLS Gen2)
3. Define and enforce data modeling standards (bronze/silver/gold layers, star/snowflake schemas)
4. Ensure efficient data ingestion, transformation, and orchestration for batch and near-real-time workloads
5. Optimize data pipelines for performance, scalability, cost, and reliability
6. Collaborate with business stakeholders, architects, analysts, and data scientists to align data solutions with business needs
7. Lead and mentor a team of data engineers, conducting code reviews and enforcing best practices
8. Implement data governance, security, and compliance (RBAC, data masking, encryption)
9. Drive CI/CD automation for data pipelines using Azure DevOps or GitHub Actions
10. Monitor, troubleshoot, and resolve pipeline failures and performance issues
11. Participate in architecture reviews and contribute to long-term data strategy

Required Skills & Qualifications

1. 11+ years of experience in data engineering, with proven leadership experience
2. Strong hands-on expertise in Azure Data Services
3. Extensive experience with: Azure Synapse Analytics, Azure Databricks (Apache Spark, Delta Lake), Azure Data Factory / Synapse Pipelines
4. Proven experience building end-to-end data pipelines from source systems (RDBMS, APIs, files, streaming) to consumption layers (BI, analytics, ML)
5. Strong SQL and Python/Scala skills
6. Experience with data warehousing and lakehouse architectures
7. Solid understanding of ETL/ELT patterns, data partitioning, and performance tuning
8. Experience with CI/CD, version control, and DevOps practices
9. Strong communication and stakeholder management skills
Experience: 11–15+ years (with 3–5 years in a lead role)

Preferred / Nice-to-Have
1. Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect)
2. Experience with Power BI or other BI tools
3. Exposure to real-time/streaming data (Event Hub, Kafka, Structured Streaming)

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.