Lead Data Platform Engineer

Job not on LinkedIn

🕒 June 5

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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CentraState Healthcare System

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

CentraState Healthcare System is a private, not-for-profit health organization dedicated to excellence, offering the full circle of health and wellness for our community. The medical center became a teaching hospital in 2005 with the launch of its'​ Family Medicine Residency Program in conjunction with the University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School. Also in 2010, the hospital was re-designated with Magnet status for nursing excellence by the American Nurses Credentialing Center (ANCC) of the American Nurses Association.

📋 Description

• Own the technical architecture of the data platform end-to-end: ingestion, storage, transformation, orchestration, serving, and observability layers. • Author and maintain the platform architectural vision document; lead quarterly architecture reviews to assess alignment with organizational goals and technology trends. • Define and evolve the target-state architecture for the platform, establishing a multi-year technology roadmap in partnership with engineering leadership. • Evaluate emerging technologies, frameworks, and make evidence-based adoption recommendations. • Serve as the final technical escalation point for complex design questions, cross-team conflicts, and build-vs-buy decisions affecting the platform. • Lead the planning, execution, and delivery of multi-quarter platform initiatives involving multiple engineers, cross-functional dependencies, and significant organizational impact. • Break down large, ambiguous programs into scoped workstreams; assign technical leads per workstream, define milestones, and manage cross-team dependencies and risk. • Drive initiative kick-offs with clear problem framing, success criteria, architectural constraints, and delivery phasing — from 0-to-1 exploration through production hardening. • Maintain stakeholder alignment throughout delivery: proactively communicate status, surface trade-offs, and escalate blockers to leadership before they become risks. • Lead post-mortems and retrospectives for large initiatives; document and socialize lessons learned to raise the organizational bar on delivery excellence. • Exercise functional oversight across the EDAP team: review technical designs, set quality gates, approve architectural decisions, and ensure consistency of implementation patterns. • Define, document, and socialize platform engineering standards including coding conventions, testing requirements, CI/CD practices, schema design guidelines, and SLA frameworks. • Establish and own the platform's technical review process (design review): triage incoming projects, chair review sessions, and ensure decisions are documented and traceable. • Identify and drive resolution of technical debt, redundancy, and architectural drift that impede platform reliability, developer productivity, or scalability. • Partner with security, compliance, and infrastructure teams to ensure platform systems meet governance, data privacy, and regulatory requirements by design. • Serve as a primary technical mentor for junior and senior data platform engineers across the platform; provide structured coaching on system design, technical communication, and engineering judgment. • Conduct and lead design reviews, architecture critiques, and technical deep-dives that strengthen the overall capability of the engineering team. • Define what technical excellence looks like at each level of engineers and participate in calibration discussions. • Represent the data platform in engineering-wide forums, all-hands, and external venues (conferences, open-source communities, recruiting events). • Build a culture of documentation, reliability, and platform-as-a-product thinking across all data platform engineering functions. • Participate in goal planning cycles as a technical voice; define engineering-led goals that improve platform reliability, developer experience, and data quality.

🎯 Requirements

• 8–14 years of professional software or data engineering experience, with at least 3 years in a technical lead, principal, capacity on a data platform or distributed systems team. • Demonstrated track record of leading large-scale, cross-functional data infrastructure projects from conception through production with measurable business impact. • Deep expertise in distributed data systems: data warehouse/lakehouse architecture, streaming platforms, large-scale batch processing, and cloud-native data infrastructure. • Expert-level proficiency in Python and SQL; strong working knowledge of at least one JVM language (Scala or Java) for Spark or Flink development. • Deep knowledge of modern data warehouse and lakehouse platforms (Snowflake, BigQuery, Redshift, Databricks, or equivalent) including storage optimization, compute management, and cost governance. • Strong command of open table formats (Apache Iceberg, Delta Lake, or Apache Hudi) and their trade-offs in production lakehouse architectures. • Experience architecting and operating large-scale streaming pipelines with Apache Kafka, Kinesis, or Pub/Sub, including schema management, consumer group design, and exactly-once semantics.. • Exceptional communication skills: ability to write clearly, present confidently, and adapt technical depth to a wide range of audiences from individual contributors to high level leaders. • Experience establishing engineering standards, review processes, and quality gates across multi-team engineering organizations.

🏖️ Benefits

• Medical, Dental, Vision, Prescription Coverage (22.5 hours per week or above for full-time and part-time team members) • Life & AD&D Insurance. • Short-Term and Long-Term Disability (with options to supplement) • 403(b) Retirement Plan: Employer match, additional non-elective contribution • PTO & Paid Sick Leave • Tuition Assistance, Advancement & Academic Advising • Parental, Adoption, Surrogacy Leave • Backup and On-Site Childcare • Well-Being Rewards • Employee Assistance Program (EAP) • Fertility Benefits, Healthy Pregnancy Program • Flexible Spending & Commuter Accounts • Pet, Home & Auto, Identity Theft and Legal Insurance