{"id":2513936,"url":"https://alion.io/job/sequoia-global-services-cloud-architect","title":"Cloud Architect","company":{"id":6343,"name":"Sequoia Connect","domain":"sequoia-connect.com","url":"https://alion.io/company/sequoia-global-services","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":171000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":768},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T01:44:38Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-14T16:47:44Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Description\nAt 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.\nWe are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers-including several Fortune 500 companies-to \"Rise™.\" With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.\nThis is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.\nWe are currently searching for a Cloud Architect:\nResponsibilities\n End-to-End Architecture Design: Design and implement robust Lakehouse and Medallion architectures (Bronze, Silver, Gold layers) ensuring reliable, production-ready data pipelines.\nPerformance Tuning & Optimization: Relentlessly troubleshoot, monitor, and tune large-scale Apache Spark jobs utilizing advanced techniques like caching, partitioning, and broadcast joins.\n Data Governance & Security: Design and deploy unified governance models for data and AI assets across the enterprise using Unity Catalog, implementing role-based access control (RBAC), row/column-level security, and comprehensive data lineage.\n Cloud Infrastructure Management: Integrate Databricks seamlessly within native cloud ecosystems (AWS, Azure, or GCP), configuring Virtual Networks (VNet) and robust IAM roles (e.g., ADLS/Entra, S3/IAM).\n Cost & Cluster Optimization: Proactively monitor and optimize Databricks Units (DBUs), right-size serverless and multi-node clusters, and implement best practices to prevent cloud bill shock and maximize ROI.\nDelta Lake Management: Leverage Delta Lake capabilities to manage ACID transactions, schema enforcement, time travel, and advanced optimization operations such as Z-ordering.\nRequirements\nExperience: 5+ years of proven track record as a Cloud Architect, Principal Data Engineer, or similar role with a heavy focus on modern cloud data architectures and distributed computing.\nDatabricks & Spark Mastery: Deep, under-the-hood understanding of Databricks, Apache Spark internals, and the Lakehouse Platform.\nCoding Proficiency: Advanced fluency in SQL, combined with expert-level programming skills in Python or Scala.\n Cloud Expertise: Strong grasp of native cloud ecosystems (AWS, Azure, or GCP) regarding networking, storage, and security.\nHigh-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery within high-stakes data environments.\n Technologist DNA: A deep understanding of the difference between \"coding\" and \"engineering\" (knowing not just how to process data, but how to architect scalable, secure, and cost-efficient distributed systems).\nDesired\nCertifications: Holding valid Databricks Certified Data Architect or Databricks Certified Data Engineer Professional badges is highly preferred.\nAI & ML Integration: Experience building, deploying, and monitoring GenAI applications and ML models using Databricks Model Serving, Vector Search, and the Mosaic AI suite.\n DevOps & CI/CD: Experience automating Databricks workflows using Git (Databricks Repos) and orchestration tools like dbt, Azure Data Factory, or Apache Airflow.\nStreaming Data: Familiarity with Databricks Structured Streaming and Auto Loader for real-time data ingestion and processing.\nData Warehousing & BI: Understanding of Databricks SQL, Serverless Warehouses, and integration with downstream BI tools like Power BI.\nFamiliarity with cloud-native foundations or AI coding assistants.\nLanguages\nAdvanced Oral English.\nAdvanced Spanish.\nNote:\n Fully remote\nIf you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. 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