Big Data LeadMDMPYSPARK
Job Location:
Mexico City - Mexico
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Sequoia Connect we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent connecting human potential with complex industrial execution. By joining our inner circle you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your Human OS and accelerating your growth through world-class high-impact projects.
We are currently partnering with a rapidly growing automation-led powerhouse that serves 31 Fortune 500 companies across the financial healthcare and manufacturing sectors. With a global workforce of over 32000 employees and a presence in 28 countries our client is a titan of digital transformation. Their Automate Everything Cloudify Everything strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a Customer Success First and Always environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic forward-thinking workplace where your growth is the priority this is where you belong.
We are currently searching for a Big Data Lead:
The Challenge (Responsibilities)
- Provide technical leadership engineering delivery and ensure the overall quality of the Data Foundation platform.
- Lead the team responsible for building and maintaining enterprise data pipelines data products canonical data models and data services.
- Enable advanced analytics AI system integration and operational reporting through robust data architectures.
- Partner closely with the Service Owner Architecture Team and Platform Engineering Lead to deliver scalable trusted and maintainable data solutions aligned with enterprise standards and strategic objectives.
- Take accountability for engineering execution solution quality and operational reliability across the data platform.
- Drive the development mentorship and continuous improvement of a high-performing data engineering team.
Your Profile (Requirements)
- Proven experience as a hands-on technical leader with deep expertise in enterprise data engineering.
- Strong background in modern data architectures distributed processing and engineering excellence (specifically utilizing PySpark).
- Solid understanding and hands-on experience with Master Data Management (MDM) principles and canonical data models.
- Demonstrated ability to lead technical teams while remaining hands-on with pipeline creation and architectural design.
- Exceptional communication skills to partner seamlessly with cross-functional architecture and platform teams.
- High-Performance Mindset: Resilience emotional intelligence and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between coding and engineering.
Desired
- Experience deploying data solutions within modern cloud environments (AWS GCP or Azure).
- Familiarity with cloud-native foundations or AI coding assistants.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- Position ID: AR 681618
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
- Remote
If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page: Requirements:
Big Data PySpark MDM Data Pipelines Distributed Processing
