Databriks Engineer

Amdocs; Región Centro; Presencial; MXN 1,235,000 - 1,589,000; Jornada completa

Descripción de la vacante

A global technology company is seeking a Senior Data Engineer in Mexico, Jalisco. This role involves building and optimizing data pipelines, ensuring compliance with healthcare regulations, and leading data governance efforts. The ideal candidate has 5+ years of data engineering experience, particularly in healthcare, and strong proficiency in Azure and Databricks. Competitive benefits are provided as part of a supportive work culture that values continuous learning and innovation.

Servicios

Health & Life insurance

Meal Support

30 days Christmas bonus

Formación

• 6-10+ years of consulting and/or industry experience.
• 5+ years in data engineering with healthcare data preferred.
• Demonstrated experience delivering enterprise-grade Master Data Management frameworks.

Responsabilidades

• Build, optimize, and govern data pipelines across Azure and Snowflake.
• Engineer, optimize, and maintain data pipelines for analytics and reporting.
• Mentor data engineering teams on best practices.

Conocimientos

Data engineering

Azure

Databricks

Snowflake

Python

SQL

Communication

Educación

Relevant degree or completion of coursework

Herramientas

Databricks

Azure Data Factory

Snowflake

DBT

Airflow

Descripción del empleo

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.

HCLTech is a global technology company, home to more than 223,000 people in 60 countries, delivering industry‑leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2024 totaled $13.7 billion.

Why Us

• We offer End‑to‑end digital transformation expertise that helps clients from strategy through execution.
• We work with the biggest brands, offering the opportunity to be a part of industry‑leading work We are invested in your growth, offering learning and career development opportunities at every level to help you find your spark
• We offer freedom and flexibility on the job, empowering our employees to make decisions
• We offer a virtual‑first work environment, promoting a good work‑life balance and real flexibility Our company is extremely diverse with representation of 165 nationalities
• We offer the opportunity to work with colleagues across the globe
• We offer comprehensive benefits for all employees
• We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect

Data Loss Prevention Engineer

Should have 7+ year of relevant experience that includes:

• Expertise in designing and implementing Symantec DLP solutions
• An Excellent knowledge in Data Privacy and Protection concepts.
• DLP Policy configuration as per business requirements
• Experience with Jira and confluence
• Deploy DLP Software/Firmware updates and Patches
• Coordinate with OEM for implementation support issues
• Experience in design and implementation of Data Protection technologies like DLP Database or File or Email Encryption or Data Masking Test Data Masking or Dynamic Data Masking PKI
• Should have experience in integrating data protection solutions with other security solutions and business intelligence solutions.
• Should have good product understanding and problem‑solving capability
• Excellent knowledge of PCI DSS and ERM compliance and standard
• Ensure protection of networks, systems, and applications by enforcement of DLP security policy and through use of systematic DLP event analysis
• Monitor DLP information security alerts through the use of available DLP tools to respond, triage, and elevate as needed.
• Analyze event/alert patterns to properly interpret and prioritize threats with available DLP tools and other data protection devices.
• Identify trends and drive requirements aimed at improving and enhancing existing data loss prevention detection policies.
• Provide support to projects that enhance reporting, workflow, change/incident/problem management.
• Provide technical advice and input for the support of integrated security systems and solutions.
• Interface with clients in the strategic design process to translate security and business requirements to improve the efficiency of daily tasks, monitoring, and processes with innovative ideas
• Experience with integration of DLP with SIEM and PAM
• Product related problem management, bug‑fixes

Soft Skills

• Should have good verbal/written communication skills
• Incumbent should carry continual system improvement mindset and able to demonstrate in work.
• Client facing technical analysis report and presentation skills
• Capable to support and mentor team
• Experience working with internal functional partners to understand their business processes and goals, then create DLP policies or recommend process changes to facilitate functional goals without compromising DLP security.

What we offer

• Meal Support
• Saving Fund
• Multinational colleagues & projects
• Health & Life insurance for you and your family
• 30 days Christmas bonus

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