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Data Platform Architect - Information Technology - Analysts

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: MassGenics, Inc.
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 70 - 73 USD Hourly USD 70.00 73.00 HOUR
Job Description & How to Apply Below

Job  Jersey City , New Jersey Job Type: Contract Added - 09/21/26

Job Description A client of Innova Solutions is immediately hiring for a Data Platform Architect with Agentic Coding.

Position type:
Full-time, Contract

Duration: 12 months (with high possibilities of extension)
Location:
Jersey City, NJ (Hybrid 3 days onsite 2 days remote)

As a Data Platform Architect , you will:

Required Qualifications:
  • 10+ years of experience in data platform architecture, data engineering, or distributed systems.
  • Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
  • Strong experience with:
  • Databricks
  • AMPS, MQ, Hadoop, or experience with other enterprise messaging systems
  • Large-scale data warehouse or lakehouse platforms
  • Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
  • Strong software engineering background with expertise in:
  • Java
  • Python
  • SQL (any flavor)
  • Other object-oriented programming languages
  • Strong understanding of data governance, security, compliance, and operational monitoring.
  • Bachelor's Degree
A client of Innova Solutions is immediately hiring for a Data Platform Architect with Agentic Coding.

Position type:
Full-time, Contract

Duration: 12 months (with high possibilities of extension)
Location:
Jersey City, NJ (Hybrid 3 days onsite 2 days remote)

As a Data Platform Architect , you will:

Required Qualifications:
  • 10+ years of experience in data platform architecture, data engineering, or distributed systems.
  • Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
  • Strong experience with:
  • Databricks
  • Apache Spark
  • Apache Kafka
  • AMPS, MQ, Hadoop, or experience with other enterprise messaging systems
  • AWS cloud services
  • Large-scale data warehouse or lakehouse platforms
  • Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
  • Strong software engineering background with expertise in:
  • Java
  • Python
  • SQL (any flavor)
  • Other object-oriented programming languages
  • Experience designing highly available, scalable distributed systems.
  • Strong understanding of data governance, security, compliance, and operational monitoring.
  • Bachelor's Degree
Description:
  • We are seeking a highly experienced Data Platform Architect to lead the strategic modernization of our enterprise data ecosystem. This role will be responsible for defining and executing the architecture for large-scale data platform transformations and utilizing cutting edge technologies both on-prem and in the cloud.
  • The ideal candidate has successfully delivered similar data modernization programs at enterprise scale and possesses deep expertise in cloud architectures, distributed computing, data engineering best practices, and large-scale data migrations. This individual will collaborate across engineering, infrastructure, architecture, and business teams to establish the future-state data platform strategy.
Key Responsibilities
  • Define the target-state architecture for enterprise data platforms and cloud-native analytics solutions.
  • Lead the migration of large-scale data environments from on-premises platforms to a cloud environment.
  • Design scalable, resilient, and secure data architectures capable of supporting petabyte-scale workloads.
  • Establish architectural standards, governance frameworks, and engineering best practices.
  • Partner with infrastructure, security, and application teams to ensure alignment with enterprise cloud strategies.
  • Evaluate and recommend technologies for data storage, processing, streaming, governance, and observability.
  • Provide technical leadership and mentorship to engineering teams implementing Spark, Kafka, Databricks, and cloud-native services.
  • Drive performance optimization, cost management, and operational excellence across the data platform.
  • Support executive stakeholders with migration roadmaps, risk assessments, and modernization strategies.
Preferred Qualifications
  • Databricks certification(s)
  • AWS Solutions Architect certification(s)
  • Experience implementing lakehouse architectures.
  • Experience designing streaming and real-time analytics platforms.
  • Experience with in highly regulated financial services or enterprise environments.
  • Master's Degree

The ideal candidate will have:

This position is only open to applicants who can be engaged on a W-2 basis.

We are currently interviewing to fill this and other similar positions. If this role is…

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