Senior Data Engineer and Analytics Manager

This onsite, full time opportunity in Franklin Lakes, New Jersey features a competitive annual salary range of $114,500 to $189,100, plus a comprehensive Total Rewards program. Employees have access to annual bonuses, medical, dental and vision coverage, health savings and flexible spending accounts, as well as life and disability protections. Retirement plans, educational assistance, tuition reimbursement, legal resources, commuter benefits and a broad suite of wellness and family support programs are included. The role supports in person collaboration to accelerate learning and progress, with opportunities for mentorship, growth, and leadership development in a dynamic data, analytics, and AI environment.

The organization seeks people who can see the bigger picture and understand the human story behind the work. You will be part of a culture that values imagination and drive to help reinvent the future, with learning and growth as core pillars. In person collaboration is encouraged to deepen teamwork, accelerate progress and strengthen the shared culture. This is a place where you can contribute meaningfully while advancing your career.

USA NJ - Franklin Lakes. This is a on-site role.

Responsibilities

• 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 the platform reliability team to secure, resilient and scalable operations of workloads 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 drive actionable insights in plant operations, logistics, quality and inventory flows.
• Design, build and maintain CI/CD pipelines and a repository for Databricks code deployment, with automation of metadata logs for future Platform AI initiatives.
• Support Infrastructure as Code 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 the software delivery lifecycle.
• Lead End to End Analytics Process Governance and Management, including opportunity identification, development, implementation, change management and competency.
• Contribute to the evolution of the organization's data governance framework as it relates to cloud data platforms, analytics, AI and ML ecosystem.
• Provide technical guidance 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 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.
• Drive Agile Methodology to balance portfolio across Business, Manufacturing, Quality and Supply Chain.
• Identify key analytics and KPIs for effective Scrum execution while building capabilities with global and regional analytics teams.
• Collaborate with legal, IT, information security, business units and other functions to integrate privacy by design and security by design into data platform development.
• Oversee data access controls, data retention policies, data anonymization and other security measures across storage and processing environments.
• Lead responses to data privacy inquiries, data subject access requests and potential data breaches, coordinating across functions for timely resolution.
• Stay current with evolving data privacy laws and industry standards to strengthen the organization’s compliance posture.
• Evaluate cost implications of new technologies, define the analytics roadmap and manage vendor transitions and training.
• Set up, lead and coach the data team to deliver high impact solutions for BD.
• Lead talent screening and hiring, including 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 culture.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Law, Business Administration, or related field; master's degree or certifications such as CIPP/E, CIPP/US, CISM, or CISSP are preferred.
• Hands-on experience securing and operating modern data platforms including Databricks, cloud data lakes, data warehouses, streaming and big data platforms.
• Experience with event driven or state based orchestration or near real time architecture.
• Knowledge of infrastructure as code, particularly Terraform.
• Practical knowledge of cloud security fundamentals such as IAM, network security and encryption, secrets management and logging/monitoring.
• Strong communication and documentation skills.
• Typically 5 to 8 years of experience in cloud data privacy, compliance, information security, or related field, with at least 3 to 5 years focused on data platform compliance or data governance.

Technologies

• Databricks
• Unity Catalog
• Terraform
• AzureOps
• Data Asset Bundles
• Azure Monitor
• CloudWatch