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Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks Job Opening In WorkFromHome – Now Hiring Publicis Sapient


Job description

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

Join to apply for the Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks role at Publicis Sapient

Job Description

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.

Qualifications

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.

This is a full‑time role (40 hours per week) open to both permanent and contractor hires in Mexico, Colombia, and Costa Rica and available only as a contractor position in Argentina and Peru.

Location & Travel Requirements

The selected candidate will lead a team primarily located in Argentina.

During the initial phase, monthly travel to Argentina will be required to engage with the team on‑site and support alignment.

Over time, travel will occur on an as‑needed basis, with frequency expected to reduce as the team becomes fully operational.

Expenses fully covered.

Additional Information

  • 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

Company Description

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.

#J-18808-Ljbffr

Required Skill Profession

Desarrollo De Software


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Publicis Sapient adheres to the cultural norms as outlined by Expertini.

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3. Impartiapty

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6. Respect for human rights

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Publicis Sapient interview tips for Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks

Here are some tips to help you prepare for and ace your Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks job interview:

Before the Interview:

Research: Learn about the Publicis Sapient's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Lead Azure Data Engineer – Data Factory / Synapse / Databricks interview at Publicis Sapient, research the company, understand the job requirements, and practice common interview questions.

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