Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks

As a Senior Lead Azure Data Engineer, you will play a key role in driving the technical direction, quality, and performance of data engineering projects on Azure Cloud. The focus of this position is on technical leadership, mentoring engineering teams, and ensuring adherence to best practices — while remaining hands-on to guarantee the reliability and quality of solutions delivered.

You will work with modern data technologies such as Azure Data Factory, Synapse Analytics, and Databricks to enable data-driven decision-making and analytics for our clients.

Your Impact

• Provide technical leadership and guidance to a team of data engineers, fostering a culture of excellence, collaboration, and accountability.

• Stay hands-on in development, performing reviews and validations to ensure quality, scalability, and performance across all deliverables.

• Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory and Databricks (PySpark).

• Build and optimize data lake and data warehouse solutions using Delta Lake and Synapse Analytics (serverless).

• Define and enforce engineering standards, code reviews, and best practices across the team.

• Collaborate closely with architects and stakeholders to define and evolve data architecture and solution design.

• Ensure data quality, performance tuning, and cost optimization across Azure components.

• Automate data ingestion, transformation, and orchestration processes to improve reliability and operational efficiency.

• Partner with data scientists, analysts, and business teams to translate complex data requirements into robust, scalable solutions.

• Stay current with emerging technologies and innovations within the Azure and Databricks ecosystems.

Skills & Experience

• 8+ years of experience in data engineering, data warehousing, and analytics.

• Proven experience in technical leadership and team mentorship within agile engineering environments.

• Hands-on expertise with Azure Data Factory, Databricks (PySpark), and Delta Lake.

• Strong experience implementing Synapse Analytics (serverless) solutions for querying and data serving.

• Solid understanding of data architecture, modeling, and performance optimization in cloud environments.

• Experience defining and maintaining CI/CD pipelines and version control for data engineering projects.

• Advanced SQL skills and practical experience with both relational and non-relational databases.

• Excellent analytical and problem-solving abilities, with a focus on ensuring technical quality and scalability.

Set Yourself Apart With

• Experience integrating Databricks with other Azure services (e.g., Event Hub, Data Lake Storage, Logic Apps).

• Familiarity with Delta Live Tables and data reliability frameworks.

• Certifications such as Microsoft Azure Data Engineer Associate (DP-203) or equivalent.

• Demonstrated experience defining or implementing data architecture blueprints and governance frameworks.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.