Big Data Engineering Lead
在 Sequoia Connect,我们是一个人才第一技术生态系统，重新定义了精英专业人员如何与全球数字景观互动。我们超越传统模式来作为全球顶级1%的人才的催化剂，将人类潜力与复杂工业执行联系起来。通过加入我们的内部圈子，你不仅只是采取立场；你正在与一个致力于更新"人类操作系统"并通过世界级，高影响力的项目加速增长的战略合作伙伴一致。我们目前与一个快速增长的自动化驱动的强大公司合作，该公司服务于金融，医疗和制造业的31家财富500强企业。拥有全球32,000多名员工并在28个国家开展业务，我们的客户是数字转型的大巨头。他们的"自动化一切，云化一切"战略确保你将在人工智能驱动的自动化的前沿工作。这是你在"客户成功，首先和永远"环境中壮成长的机会，这重视持续学习和激进的所有权。你将在全球39个分发中心的国际专业网络中合作，接触到复杂的工程挑战，重新定义了工业标准。如果你是一个驱动的专业人士，寻找一个充满活力和前性的工作场所，让你的增长成为优先事项，这就是你所在的地方。我们目前正在寻找一个大数据工程领导者：挑战 （责任）·为数据基金会平台提供技术领导，工程交付和质量保证。·领导负责构建和维护企业数据管道，数据产品，定律数据模型和数据服务的团队，以实现分析，人工智能，集成和运营报告。·与服务主体，建筑团队和平台工程领导密切合作，为符合企业标准和战略目标提供可扩展，可信赖和可维护的数据解决方案。·对工程执行，解决方案质量，运营可靠性以及高性能数据工程团队的发展承担责任。· 实现数据基金会工程承诺，同时确保数据管道的可靠性，性能和可扩展性。·推动企业数据资产中数据质量改善，采用工程标准，减少技术债务，
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Description
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 32,000 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 Engineering Lead:
The Challenge (Responsibilities)
- Provide technical leadership, engineering delivery, and quality assurance for the Data Foundation platform.
- Lead the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services to enable analytics, AI, integration, and operational reporting.
- 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, operational reliability, and the development of a high-performing data engineering team.
- Successfully deliver Data Foundation engineering commitments while ensuring data pipeline reliability, performance, and scalability.
- Drive data quality improvements across enterprise data assets, adopt engineering standards, reduce technical debt, and improve operational stability through incident reduction.
- Increase reuse of canonical data models, data products, and engineering frameworks.
Your Profile (Requirements)
- 8+ years of experience in data engineering, software engineering, or enterprise data platform development.
- 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.
- Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
- Experience operating within agile software development environments.
- Advanced SQL and data modeling expertise.
- Strong Python and PySpark development experience.
- Deep understanding of ETL and ELT architecture patterns.
- Strong technical leadership, coaching capabilities, and problem-solving skills.
- 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 implementing Master Data Management solutions.
- Experience building RESTful APIs and data services.
- Familiarity with GraphQL and modern integration approaches.
- Understanding of microservices-based architectures.
- Experience implementing event-driven and real-time data processing solutions.
- Strong understanding of data quality frameworks, metadata management, and data lineage concepts.
- Familiarity with cloud-native foundations or AI coding assistants.
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 Career’s Page:
Requirements
- 8+ years of experience in data engineering, software engineering, or enterprise data platform development.
- 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.
- Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
- Experience operating within agile software development environments.
- Advanced SQL and data modeling expertise.
- Strong Python and PySpark development experience.
- Deep understanding of ETL and ELT architecture patterns.
Originally posted on Himalayas