The Senior Data Engineer and Analytics Manager  will design, build and operate secure-by-default data platforms across BD Digital

Transformation cloud ecosystem.  This role embeds security, privacy and compliance controls directly into data platform Architecture, CI/CD pipelines and Infrastructure-as-code, to enable scalable analytics and AI workloads while meeting global data privacy regulations (e.g., GDPR, CCPA, HIPAA), internal policies, and industry standards.

This role will play a critical part in maintaining the integrity, security, and ethical use of data throughout its lifecycle within BD's extensive data ecosystem acting as a hands-on engineering with Data Platform partners, Cloud infrastructure, and Information Security teams

Job Responsibilities

Data Platform Security and Operations

• Design, implement and operate security controls for BD’s Databricks baseline data platforms, including workspace configuration, identity integration, cluster policies, and access controls
• Own platform-level monitoring and alerting for security posture, access activity, code changes, job execution and cluster performance.
• Partner with platform reliability team to secure, resilient and scalable operations of workload across development, test and production environments
• Define and govern Scrum processes across businesses and regions, leading cross functional forums to track delivery progress and resolve escalations. 
• Promote a data-as-a-product mindset, enabling governed, reusable data assets across the enterprise 
• Establish standards for data modeling, contextualization, quality, lineage, and observability across complex datasets to ensure actionable insights across plant operations, logistics, quality and inventory flows 

Automation and DevOps

• Design, build and maintain CI/CD pipelines and repository for Databricks code deployment, configuration and automation of metadata logs for future Platform AI initiatives

• Support Infrastructure-as-code (IaC) practices using Terraform, AzureOps, Data Asset Bundles or similar tools
• Contribute to Automation and branching strategies for repeatable tasks to improve efficiency.
• Engineer policy-as-code, automated security checks and compliance validation integrated into software delivery lifecycle.
• End to End Analytics Process Governance and Management - Opportunity identification, Development, Implementation, Change Management & Competency 

Governance, Enablement and Collaboration

• Contributes to evolution of BD’s data governance framework as it relates to cloud data platforms, analytics, AI and ML Ecosystem.
• Provided technical guidance and enablement to data engineers, platform teams and solution developers on secure platform usage and DevSecOps best practices.
• Develop metrics, dashboards, and alerts to report on platform security posture compliance coverage,
• Participate in vendor assessments and contract reviews to ensure third-party data processors meet BD's compliance standards.
• Build and lead high‑performing teams of data architects and analysts, driving cross‑functional collaboration and enterprise data strategy. 
• Provide direction, mentorship, and performance management for data teams, ensuring disciplined execution across resources, budgets, and timelines. 
• Develop a governance playbook defining clear roles, responsibilities, and processes in collaboration with cross‑functional stakeholders. 
• Build and lead an enterprise generative AI practice, spanning use‑case delivery, talent development, platform and vendor strategy, and governance in partnership with Legal, Supply Chain, Operations and business stakeholders.

Continuous Improvement & enablement while driving data security and data privacy

• Drive Agile Methodology to ensure right balance in portfolio in coordination with Business, Manufacturing, Quality, Supply Chain etc. 
• Identify key analytics and KPIs for effective Scrum execution while building capabilities and tools in partnership with global and regional analytics teams. 

• Collaborate closely with legal, IT, information security, business units and other functions to integrate privacy-by-design and security-by-design principles into the development and evolution of data platforms.  

• Oversee the implementation and monitoring of data access controls, data retention policies, data anonymization/pseudonymization techniques, and data security measures across various data storage and processing environments.  

• Lead the response to data privacy inquiries, data subject access requests (DSARs), and potential data breaches, working multi-functionally to ensure timely and compliant resolution.  

• Stay abreast of evolving data privacy laws, industry standards, and technological advancements to proactively adapt and strengthen BD's data platform compliance posture.  

• Evaluate cost implications of new technologies, define the analytics roadmap, and ensure effective vendor transition, training, and business value realization. 

Team Management & Delivery 

• Setting-up, leading and coaching the Data Team to deliver cut-throat solutions for BD.   

• Lead talent screening and hiring, including interviews and campus recruiting, to build a sustainable analytics talent pipeline. 

• Drive training, mentoring, and career development to strengthen technical and leadership capabilities while fostering a high‑performance, people‑centric culture. 

Required 

• Bachelor’s degree in Information Technology, Computer Science, Law, Business Administration, or a related field. Master's degree or relevant certifications (e.g., CIPP/E, CIPP/US, CISM, CISSP) preferred.  

• Hand-on experience securing and operating modern data platforms ( e.g., Databricks, cloud data lakes, data warehouses, streaming and big data platforms)  

• Experience with Event-driven (EDX) or State-based orchestration or Near Real-time architecture    

• Knowledge of Infrastructure as Code (Terraform)   

• Practical Knowledge of Cloud Security fundamentals including IAM, Network Security and encryption, secrets management and logging /monitoring  

• Strong communication and documentation skills   

• Minimum of 5-8 years of experience in Cloud data privacy, compliance, information security, or a related field, with at least 3-5 years specifically focused on data platform compliance or data governance.  

Preferred  

• In-depth knowledge of global data privacy regulations, including but not limited to GDPR, CCPA, HIPAA, and other relevant regional data protection laws.  

• Demonstrable experience with leading audits for data platforms and technologies (e.g., cloud data lakes, data warehouses, big data technologies, ETL/ELT tools, database systems).​ 

• Experience with Databricks security features such as Unity Catalog, workspace isolation, cluster policies, and audit logging.  

• Familiarity with monitoring and logging tools such as Azure Monitor, CloudWatch, or equivalent.  

• Experience supporting internal or external audits through automated evidence collection and platform controls.  

• Experience in the healthcare or medical device industry is a significant plus. 

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.