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

Solomon Page

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Market Data Engineering * Build and optimize pipelines supporting complex market data analytics ... Azure Data Factory, Databricks, or Synapse. * Experience migrating data platforms from SQL Server ...

1 point system

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Strong coding background for Spark job development and functional programming. * Apache Spark: Advanced experience in distributed data processing, batch and streaming pipelines. * Azure Managed ...

Scotiabank

Platform Engineer

Manhattan, NY · On-site

... Data & AI platform(s) as per banks Data & AI strategy. This consists of working with cross ... Work with Azure networking/security configurations (VNets, NSGs, route tables, private endpoints ...

Scotiabank

Platform Engineer

Manhattan, NY

... Data & AI platform(s) as per banks Data & AI strategy. This consists of working with cross ... Work with Azure networking/security configurations (VNets, NSGs, route tables, private endpoints ...

Teambuilder

Senior Data Architect Engineer (SaaS)

Manhattan, NY · On-site

$73.75 - $98.50/hr

  • Medical

  • PTO

... data platform modernization initiatives leveraging Azure cloud technologies. Data Engineering  Design, develop, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and ...

TeamBuilder

Senior Data Architect Engineer (SaaS)

Manhattan, NY · On-site

$73.75 - $98.50/hr

  • Medical

  • PTO

... data platform modernization initiatives leveraging Azure cloud technologies. Data Engineering • Design, develop, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and ...

Tata Consultancy Service Limited

Architect

Edison, NJ · On-site

$152K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Act as a trusted advisor to CIO/CDO and Data Platform leaders. ii. Translate business objectives into Azure data and analytics strategies. 2. Articulate Azure Data & AI for Data offerings and value ...

Socotec

Senior Data Engineer (Azure & Databricks)

Manhattan, NY · On-site

$116K - $158K/yr

You will work closely with software engineers and platform teams to ensure SOCOTEC's data ecosystem ... Experience with modern cloud data stacks (AWS, Azure, or GCP) * Experience integrating data from ER ...

SOCOTEC

Senior Data Engineer (Azure & Databricks)

Manhattan, NY · On-site

$116K - $158K/yr

You will work closely with software engineers and platform teams to ensure SOCOTEC's data ecosystem ... Experience with modern cloud data stacks (AWS, Azure, or GCP) * Experience integrating data from ER ...

Avantos, Inc

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 ...

Gemini

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Retirement

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 ...

Centraprise Corp

Data Architect

Edison, NJ · On-site

$64.50 - $83/hr

... Fabric / Azure Data Engineering stack o Lakehouse, OneLake, Pipelines, Notebooks o Azure Data ... platform design • Experience in CI/CD & DevOps for Data Engineering • Hands-on experience ...

Gemini

Senior Data Platform Engineer

Manhattan, NY · On-site

$116K - $158K/yr

  • Medical

  • Retirement

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 ...

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Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

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

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are popular job titles related to Azure Data Platform Engineer jobs in New York?

For Azure Data Platform Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in New York look for?

The top searched job categories for Azure Data Platform Engineer jobs in New York are:

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

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

Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer

Solomon Page

Manhattan, NY • On-site

$125K - $150K/yr

Full-time

Posted 11 days ago

Job description

We are partnering with a highly successful and growing investment management firm seeking a Senior Data Engineer to help transform and modernize its enterprise data platform. This is a unique opportunity to join a lean, high-performing technology and data team where your work will have immediate visibility and measurable impact across the organization. Unlike large financial institutions where responsibilities can be narrowly defined, this role offers broad ownership across data architecture, cloud migration, market data engineering, analytics platforms, and API infrastructure. The firm invests across global markets with a particular focus on Fixed Income, Credit, FX, Interest Rates, Commodities, and derivative products. Data is central to the investment process, and this position will play a critical role in building the next generation of data infrastructure that supports portfolio managers, traders, researchers, and business stakeholders.
  • The role is based in New York City and is a hybrid work environment with 4 days a week in the office with additional flexibility to work from home two weeks a year. Compensation is based on expereince but the range is 175-240k base plus bonus and benefits.

Responsibilities:
Data Platform Modernization
  • Lead the evolution of the firm's data platform from legacy on-premise environments into a modern cloud-based architecture.
  • Design, build, and maintain scalable ELT pipelines using Python, SQL Server, Snowflake, and dbt.
  • Integrate data from vendor feeds, APIs, market data providers, and internal systems.
  • Develop robust frameworks for data ingestion, transformation, and storage.

Market Data Engineering
  • Build and optimize pipelines supporting complex market data analytics.
  • Work with Fixed Income, Credit, FX, Rates, Commodities, and derivatives datasets.
  • Support yield curve construction, pricing analytics, risk analytics, P&L attribution, and reference data management.
  • Partner with investment professionals to deliver reliable, high-quality datasets.

Cloud & Data Warehouse Architecture
  • Help drive migration initiatives from SQL Server and legacy environments into Snowflake.
  • Design scalable data models and enterprise warehouse solutions.
  • Implement best practices around performance tuning, governance, lineage, and data quality.

Analytics & API Development
  • Enhance Python-based data services and APIs that power investment workflows.
  • Optimize reporting and analytics environments through indexing, clustering, caching, and query tuning.
  • Support business intelligence and self-service analytics initiatives.

Data Governance & Quality
  • Build automated monitoring and validation frameworks.
  • Develop controls for stale data detection, schema drift, duplicate records, and anomaly identification.
  • Maintain data cataloging, ownership, lineage, and quality standards across the platform.

Required Qualifications:
Required Experience
  • 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.
  • Prior experience within a:
    • Hedge Fund
    • Asset Management Firm
    • Investment Management Firm
    • Private Equity Firm
    • Alternative Asset Manager
    • Capital Markets or Trading Environment

Technical Skills
  • Advanced Python development experience.
  • Expert-level SQL development and performance tuning.
  • Strong experience with Microsoft SQL Server.
  • Hands-on experience with Snowflake.
  • Strong experience building and maintaining dbt frameworks.
  • Experience designing enterprise-scale ELT pipelines.
  • Experience working with APIs and data integration platforms.

Capital Markets Experience
Candidates must have strong exposure to financial market data and investment workflows, ideally including:
  • Fixed Income
  • Credit Products
  • Foreign Exchange (FX)
  • Interest Rate Products
  • Commodities
  • Derivatives
  • Yield Curves
  • Security Master Data
  • Market Data Platforms
  • Bloomberg, LSEG/Refinitiv, FactSet, ICE, or similar data providers

Preferred Qualifications
  • Experience with Azure, Azure Data Factory, Databricks, or Synapse.
  • Experience migrating data platforms from SQL Server to modern cloud environments.
  • Exposure to high-performance trading systems or electronic trading platforms.
  • Experience with Power BI, Tableau, or enterprise reporting environments.
  • Familiarity with event-driven architectures, CDC, streaming technologies, or real-time market data.
  • Experience building semantic layers and AI-ready data platforms.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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