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Director Data Platform Jobs in Basking Ridge, NJ

VAST Data

Civilian Account Director

Manhattan, NY · On-site +1

Description VAST Data is looking for a Sales Director, Data Platform - Federal Civilian to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure ...

VAST Data

Civilian Account Director

New York, NY · On-site +1

Description VAST Data is looking for a Sales Director, Data Platform - Federal Civilian to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure ...

Deckers

Director, Data Architecture

New York, NY · Remote

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... Experience with data cataloging, metadata management, and lineage tracking platforms

Alpaca

Director of Data Platform

New York, NY · On-site +1

We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team ...

HSS

Director, Data Insights

New York, NY · On-site

$125K - $191K/yr

The Director, Data & Insights owns the analytics portfolio (KPI roadmap, "official reporting ... Together, these partners ensure the platforms are reliable and the outputs are consistent ...

Deckers

Director, Data Governance

New York, NY · Remote

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... Partner with platform and engineering teams to implement governance capabilities into core data ...

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All JobsData Platform JobsDirector Data Platform JobsDirector Data Platform Jobs in Basking Ridge, NJ

Director Data Platform information

See Basking Ridge, NJ salary details

$53.6K

$132.5K

$206.1K

How much do director data platform jobs pay per year?

As of Aug 12, 2026, the average yearly pay for director data platform in Basking Ridge, NJ is $132,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Platform vs Data Engineer?

AspectDirector Data PlatformData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in Computer Science, Data Science, or related fields; leadership experienceBachelor's or Master's in Computer Science, Data Engineering, or related fields; certifications like AWS, Google Cloud, or Azure are common
Work EnvironmentLeads teams, oversees data platform architecture, strategic planning, and cross-department collaborationBuilds, develops, and maintains data pipelines, databases, and ETL processes
Industry UsageCommonly found in organizations with large-scale data needs, overseeing data infrastructureHands-on role in data processing, often working closely with data scientists and analysts

The Director Data Platform focuses on strategic leadership, architecture, and team management of data infrastructure, while Data Engineers are more involved in the technical development and maintenance of data pipelines and systems. Both roles are essential but differ in scope and responsibilities.

What does a director data platform do?

A Director of Data Platform is responsible for leading the strategy, architecture, and management of an organization's data infrastructure. They oversee teams that build and maintain data platforms, ensure data quality and security, and enable data-driven decision making across the company. The role requires close collaboration with engineering, analytics, and business teams to support current and future data needs. Additionally, they evaluate new technologies and ensure the data platform scales with business growth.

What are the key skills and qualifications needed to thrive as a director data platform, and why are they important?

To thrive as a Director Data Platform, you need deep expertise in data architecture, data engineering, and analytics, usually backed by a degree in computer science or a related field and significant leadership experience. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data tools (such as Hadoop or Spark), and data governance frameworks is critical, along with certifications in cloud or data management. Exceptional strategic thinking, communication, and stakeholder management help drive cross-functional alignment and innovation. These capabilities ensure robust, scalable data infrastructures that support business goals and enable data-driven decision-making.

What are the main challenges a director data platform faces when scaling data infrastructure for a growing organization?

A Director of Data Platform often faces challenges related to balancing scalability, performance, and cost efficiency as the organization grows. Ensuring data security and compliance across multiple systems, integrating diverse data sources, and maintaining high data quality can be complex, especially as teams and data volumes expand. Additionally, the role requires close collaboration with engineering, analytics, and business teams to align the data platform with evolving business needs and to foster a data-driven culture. Proactive communication, strategic planning, and continuous learning are key to overcoming these hurdles.
What are popular job titles related to Director Data Platform jobs in Basking Ridge, NJ? For Director Data Platform jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What job categories do people searching Director Data Platform jobs in Basking Ridge, NJ look for? The top searched job categories for Director Data Platform jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Director Data Platform jobs? Cities near Basking Ridge, NJ with the most Director Data Platform job openings:
Director Data Platform jobs near you
Infographic showing various Director Data Platform job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,453 per year, or $63.7 per hour.

Director, Data Platform & Engineering

Blink Health

New York, NY • On-site

Full-time

Re-posted yesterday

Blink Health rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

72nd of 112 rated pharmacies

Job description

The Role

We are seeking a Director of Data Platform & Engineering to lead the evolution of Blink's real-time and batch data platform, built on AWS and Databricks. This role owns the strategy, execution, and people leadership for the data platform and engineering team, managing a team of Data Engineers and Data Platform Engineers.

As a Director, you will set the long-term vision and day-to-day management of the data platform and how data is ingested, processed, stored, and modeled, aligned with business objectives. This is a high visibility role deriving trusted metrics, reports and analytics that power decisioning systems, operational workflows and data products for internal and external stakeholders. You will balance hands-on technical judgment with organizational leadership-building high-performing teams, scaling platform capabilities, and ensuring the platform remains reliable, cost-effective, and aligned with business priorities.

This is a highly cross-functional role, partnering closely with Product, Engineering, Infrastructure Data, and Leadership to simplify our data ecosystem, retire legacy patterns, and establish scalable, lakehouse-first foundations for real-time analytics and decisioning.
We are open to hiring this position in:
New York (Preferred)
Pittsburgh
San Francisco
Seattle

What You Will DoPlatform & Technical Leadership
  • Own the operations and administration of our end-to-end data platform including ingestion, storage, and data/insight serving layers
  • Own architecture and implementation of platform modernization including streaming systems, lakehouse design, and data-serving APIs, ensuring scalability, correctness, and operability
  • Unify real-time and historical data with strong data quality and correctness guarantees
  • Define and enforce standardized data contracts, event schemas to feed curated, trusted datasets for downstream applications, reporting and AI/ML, aligned with business needs.
  • Set standards for performance, cost efficiency, reliability, and observability across Spark, SQL, and streaming workloads
People & Organizational Leadership
  • Lead, mentor, and grow teams of Data Engineers and Data Platform Engineers, including hiring, performance management, and career development
  • Build a strong engineering culture focused on ownership, technical excellence, and continuous improvement
  • Develop clear team charters, ownership boundaries, and operating models that scale with the business
  • Act as a coach and technical sounding board for senior and staff-level data and platform engineers, enabling high-impact decision-making
  • Partner with Data leadership to plan capacity, staffing, and roadmaps aligned to company priorities
Cross-Functional Partnership
  • Partner closely with leaders in Data, Product, Engineering, Operations, Finance, Network and Growth to align platform investments with business outcomes
  • Translate business needs into platform capabilities and sequencing, balancing short-term delivery with long-term platform health
  • Communicate platform strategy, tradeoffs, and progress clearly to executive and technical stakeholders
  • Serve as an escalation point for complex platform issues, driving resolution and long-term fixes
Technical Skills & Experience
  • 10+ years of experience building distributed data systems, with 3+ years of significant leadership experience owning scaled data platforms
  • Experience defining and operationalizing data contracts, event schema standards, enterprise data models, data quality and governance frameworks at scale
  • Deep expertise in real-time data systems, including AWS Kinesis and Spark Structured Streaming
  • Strong command of cloud based data platforms - preferably Databricks and Tableau environments on AWS (Delta Lake, clusters, jobs, performance tuning) and core AWS services (S3, IAM, networking)
  • Proven experience designing and operating data-serving architectures and APIs for analytics, metrics, and feature consumption
  • Advanced understanding of Python and SQL, with the ability to guide high-performance pipeline and platform design
  • Demonstrated success designing idempotent, replayable, observable data platforms with strong operational rigor

Experience leading platform modernization and reducing technical complexity at scale

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