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Director Of Data Jobs in Edison, NJ (NOW HIRING)

We are looking for a Head of Data Platform to lead Alpaca's growing Platform Engineering team. You will own the data strategy, the team's execution, and the department's roadmap. The Data department ...

We are looking for a Head of Data Platform to lead Alpaca's growing Platform Engineering team. You will own the data strategy, the team's execution, and the department's roadmap. The Data department ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential. What you'll be doing: * Managing and growing a team of data ...

The role As the Senior Director of Data Analytics at Legora, you will lead the data and systems power decision-making across the company. You will be at the center of our business, owning the ...

Head of Data, Director

New York, NY · On-site

$215K - $255K/yr

... of dollars. Our AI-driven customer experience makes the lending process faster, less frustrating ... You'll inherit a mature data platform, a small, high-leverage team in this director-level role.

Head of Data

New York, NY · On-site

$220K - $375K/yr

About the role As Head of Data at Crosby, you'll play a critical role in defining and leading our data strategy across the company. You'll be responsible for building the systems, pipelines, and ...

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Showing results 1-20

Director Of Data information

See Edison, NJ salary details

$53.8K

$133.1K

$207.1K

How much do director of data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director of data in Edison, NJ is $133,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $169,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director of data?

To thrive as a Director of Data, you need advanced expertise in data management, analytics, and strategy, typically supported by a degree in computer science, statistics, or a related field, along with leadership experience. Familiarity with data platforms (such as SQL, Hadoop, or cloud databases), analytics tools (like Tableau or Power BI), and relevant certifications (such as Certified Data Management Professional) is common. Exceptional communication, strategic thinking, and team leadership skills help drive data initiatives and foster cross-departmental collaboration. These skills are vital to ensure data-driven decision-making, organizational alignment, and the effective governance and utilization of data assets.

How does a director of data typically collaborate with other departments to drive business objectives?

A Director of Data works closely with cross-functional teams, such as product, engineering, marketing, and operations, to ensure data-driven decision-making aligns with overall business goals. They often lead discussions to identify data needs, coordinate data collection strategies, and present actionable insights that inform strategic initiatives. Regular collaboration involves sharing data trends, setting data quality standards, and ensuring compliance with privacy regulations. This role requires balancing technical expertise with strong communication skills to bridge gaps between technical and non-technical stakeholders.

What is the difference between Director Of Data vs Data Analyst?

AspectDirector Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experienceBachelor's degree in related field; some roles may prefer certifications
Work EnvironmentLeadership role overseeing data teams and strategyHands-on analysis, reporting, and data visualization
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon in business, marketing, finance sectors for data insights

The Director Of Data focuses on leading data strategy and managing teams, while Data Analysts perform detailed data analysis and reporting. Both roles require strong analytical skills, but the Director Of Data has a broader leadership and strategic focus.

What does a director of data do?

A director of data oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead data teams, develop policies for data governance, and often work with tools like data warehouses and analytics platforms to drive informed decision-making.

What are the most commonly searched types of Of Data jobs in Edison, NJ?

The most popular types of Of Data jobs in Edison, NJ are:

What are popular job titles related to Director Of Data jobs in Edison, NJ?

For Director Of Data jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Director Of Data jobs in Edison, NJ look for?

The top searched job categories for Director Of Data jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Director Of Data jobs?

Cities near Edison, NJ with the most Director Of Data job openings:

Infographic showing various Director Of Data job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,056 per year, or $64 per hour.

Director of Data Platform

Alpaca

New York, NY • On-site, Remote

Full-time

Re-posted 17 days ago


Key responsibilities

  • Own and lead the data platform architecture, including data lakehouse components and tooling decisions.

  • Manage and coordinate the delivery of data engineering projects such as invoicing, embedded analytics, and data change management for product launches.

  • Oversee the operation of production data systems, including incident response, maintaining data quality, and ensuring system availability.


Job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

We are looking for a Head of Data Platform to lead Alpaca's growing Platform Engineering team. You will own the data strategy, the team's execution, and the department's roadmap.

The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search).

This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team.

Things You Get To Do:
  • Lead and develop Platform Engineering & ETL
  • Manage leads, set priorities, and ensure delivery.
  • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt.
  • Make build-vs-buy decisions on tooling.
  • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.
  • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.
  • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.
  • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects.
  • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development.
  • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products.
  • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows.
  • Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability.

Who You Are (Must-Haves):

  • 8+ years in data engineering, including 3+ years managing data teams (leads + ICs).
  • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage.
  • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL.
  • Track record of building self-service analytics capabilities for non-technical stakeholders.
  • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services.
  • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions.
  • Experience managing distributed/remote teams across multiple time zones.
  • Strong stakeholder management: you can translate between executive priorities and engineering execution.
  • Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform.

Who You Might Be (Nice-to-Haves):

  • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation).
  • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube).
  • Background in compliance analytics (AML/Actimize, KYC, margin calls).
  • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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