Senior Cloud Engineer Advisor

Are you an experienced, passionate pioneer in technology? A Senior Data Engineer who wants to work in a collaborative environment? As an experienced Specialist Data Engineer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. Americas Delivery Mexico (ADMX) leverages scale and talent to provide high quality, cost-effective service to our clients. ADMX is a member of the Global Delivery Network which has presence across the world with Delivery centers in the United States, Romania, India, Spain, China, and the Philippines. ADMX is in Queretaro, Mexico. We provide consulting services to help our clients achieve a higher level of service in operational efficiency and business value. We are a team of professionals passionate about serving clients with distinction and learning, and we are driven by our purpose: Making an impact that matters for our clients, our people, and society. As a Senior Consultant, you will work with diverse global clients across a wide range of industries. You will have a variety of client facing responsibilities such as diagnosing issues using advanced analytical techniques, interviewing staff, formulating and making recommendations, and helping clients implement proposed solutions. This cross-functional Data Engineer is a key technical leader responsible for building, optimizing, and governing data pipelines and architectures across Azure, Databricks, and Snowflake—driving enterprise-grade Master Data Management (MDM) and operational excellence within the healthcare industry. The role balances hands‑on development, data architecture, compliance awareness, and operational accountability, including the implementation and maintenance of incident management and reporting models to sustain robust, reliable, and secure healthcare data ecosystems. MDM & Data Architecture: Architect, implement, and operationalize robust MDM frameworks using Azure, Databricks (including Unity Catalog and Delta Lake), and Snowflake tailored for healthcare master data domains (e.g., patient, provider, payer, clinical, billing). End‑to‑End Data Pipelines: Engineer, optimize, and maintain batch and streaming pipelines that ensure the reliable ingestion, transformation, and delivery of high‑quality data from EHRs, claims systems, and third‑party sources while supporting analytics, reporting, and regulatory needs. Operational Excellence: Develop, run, and continuously improve data operate models: Oversee incident management processes for detection, diagnosis, escalation, and remediation of data pipeline failures and data quality/MDM incidents. Lead root‑cause analysis and documentation for incident reporting, preventive measures, and regulatory compliance audits (HIPAA, HITECH). Establish automated monitoring, alerting, and reporting for production pipeline health and MDM compliance. Data Governance & Compliance: Lead data governance, metadata management, data quality, stewardship initiatives, and unified access control while ensuring end‑to‑end regulatory compliance (HIPAA, 21st Century Cures Act, GDPR). Analytics & ML Enablement: Build, maintain, and secure model‑ready datasets and feature stores; collaborate with healthcare data scientists to operationalize AI/ML use cases, including population health, claims analytics, and clinical outcomes prediction. Leadership & Mentorship: Mentor data engineering teams on best practices, operate model implementation, healthcare data stewardship, and cross‑functional data initiatives. Stakeholder Collaboration: Liaise with IT, compliance, and business units, translating healthcare requirements into scalable technical solutions aligned with both data architecture and operational support needs. The Team Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re‑engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client’s unique requirements. Qualifications Required 6‑10+ years of consulting and/or industry experience Completion of coursework (Egresado) in any pertinent field or industry Responsible for supporting and leading project workstreams and/or teams Identifies key drivers, defines problems and proposes solutions Advanced English level 5+ years in data engineering (healthcare data preferred), with significant hands‑on expertise in Azure, Databricks, and Snowflake. Demonstrated experience delivering and operating enterprise‑grade MDM frameworks and incident management processes for data platforms. Strong background in Python, SQL, Databricks (Spark/Delta Lake/Unity Catalog), Azure Data Factory/Synapse, Snowflake, DBT and/or Airflow. Direct experience managing and remediating data pipeline or data quality incidents, including root‑cause analysis and incident reporting in regulated environments. Deep knowledge of HIPAA, HITECH, and relevant healthcare data privacy requirements. Excellent collaboration and communication skills; ability to work with compliance, data governance, and clinical/business stakeholders. Preferred Qualifications Experience deploying, running, and maintaining GenAI/LLM models within regulated healthcare data environments. Certification or experience with specific MDM platforms (e.g., Informatica, Reltio) or automated incident management solutions. Experience with FHIR, HL7, or other industry‑specific interoperability/data standards. Certifications Requirements Databricks Certified Data Engineer (Associate or Professional) DBT Advanced Health IT certifications (e.g., Certified Professional in Healthcare Information and Management Systems (CPHIMS)) MDM‑specific or incident management platform certification Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. From entry‑level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on‑the‑job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Accommodations We are committed to providing equal opportunity and reasonable accommodation for people with disabilities. To request a reasonable accommodation, contact our Talent Relations team at As used in this posting, \"Deloitte\" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. #J-18808-Ljbffr