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Senior Data Platform Engineer Jobs in New York (NOW HIRING)

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data & Platform Engineer NYC (Hybrid) or US Remote | Competitive + Equity About Avantos Avantos is building the AI-native operating system for financial services - transforming fragmented data ...

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data infrastructure: responsible for the reliability, automation, and operability of the database and ...

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data infrastructure: responsible for the reliability, automation, and operability of the database and ...

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data infrastructure: responsible for the reliability, automation, and operability of the database and ...

Senior Data Platform Engineer

New York, NY · On-site

$114K - $157K/yr

Magazine . Backed by an executive team of former founders and senior leaders from companies ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Magazine. Backed by an executive team of former founders and senior leaders from companies ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Dagster What you'll do You own the data platform end to end - ingestion, transformation, orchestration, and the reliability of all three. As importantly, you'll need to further develop our existing ...

Senior Platform Engineer New York, New York Hybrid role (Contract-to-hire) $65 - $80 per hour ABOUT THE ROLE Join a centralized Data Platforms team within a Fortune Broadcast Media & Entertainment ...

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Data Platform Engineer

Manhattan, NY · On-site

$160 - $200/hr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Data Platform Engineer

New York, NY · Hybrid

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

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Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

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

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in New York?

The most popular types of Data Platform Engineer jobs in New York are:

What cities in New York are hiring for Senior Data Platform Engineer jobs?

Cities in New York with the most Senior Data Platform Engineer job openings:

Infographic showing various Senior Data Platform Engineer job openings in New York as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Data and Platform Engineer

Avantos, Inc

New York, NY • On-site

$116K - $157K/yr

Full-time

Re-posted 10 hours ago


Job description

Senior Data & Platform Engineer
NYC (Hybrid) or US Remote | Competitive + Equity
About Avantos
Avantos is building the AI-native operating system for financial services - transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making.
We're a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure.
The Role
We're looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems.
This is not just about pipelines - it's about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably.
What You'll Do
  • Design and implement core backend systems and integrations that power the product.
  • Design and build our data platform (orchestration, pipelines, developer workflows)
  • Create scalable systems for data ingestion, transformation, and access
  • Design data models and APIs that won't collapse under growth.
  • Make sane decisions about schemas, indexes, migrations, and performance.
  • Own infrastructure for data + AI workloads (containers, orchestration, cloud services)
  • Enable self-serve data workflows for engineering and product teams
  • Improve observability, reliability, and performance across the data stack
  • Support AI/ML systems (embeddings, vector data, model pipelines)
  • Build tooling for document processing, metadata, and normalization
What We're Looking For
  • 7+ years in data engineering, platform engineering, or backend infrastructure
  • A track record of shipping and owning production systems.
  • Strong systems thinking (not just pipelines - platform mindset)
    • Backend system design and API design
    • Data modeling and relational databases
    • Performance, reliability, and failure modes
  • Proficiency in Golang, SQL, Terraform, AWS
  • Comfort in a fast-moving startup environment
Bonus
  • LLMs / RAG, vector search, fintech or regulated systems
  • Have startup or early-stage experience.
Why Join
  • Build the foundation layer of an AI-native product
  • High ownership + direct impact
  • Work where data, platform, and AI converge
The Fit
You're someone who doesn't just move data - you build the systems that make data usable at scale.