Platform Architect

Job Description

Job Title: Data Platform Architect

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Location: Hybrid at Jersey City, NJ (2-3 Days Onsite)

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Duration: 12+ Months Contract

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W2 Role only!! No C2C!

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Job Description:

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• 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.

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• 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.

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Key Responsibilities

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• Define the target-state architecture for enterprise data platforms and cloud-native analytics solutions.

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• Lead the migration of large-scale data environments from on-premises platforms to a cloud environment.

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• Design scalable, resilient, and secure data architectures capable of supporting petabyte-scale workloads.

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• Establish architectural standards, governance frameworks, and engineering best practices.

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• Partner with infrastructure, security, and application teams to ensure alignment with enterprise cloud strategies.

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• Evaluate and recommend technologies for data storage, processing, streaming, governance, and observability.

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• Provide technical leadership and mentorship to engineering teams implementing Spark, Kafka, Databricks, and cloud-native services.

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• Drive performance optimization, cost management, and operational excellence across the data platform.

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• Support executive stakeholders with migration roadmaps, risk assessments, and modernization strategies.

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Required Qualifications

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• 10+ years of experience in data platform architecture, data engineering, or distributed systems.

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• Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.

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Strong experience with:

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• Databricks

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• Apache Spark

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• Apache Kafka

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• AMPS, MQ, Hadoop, or experience with other enterprise messaging systems

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• AWS cloud services

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• Large-scale data warehouse or lakehouse platforms

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• Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.

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Strong software engineering background with expertise in:

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• Java

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• Python

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• SQL (any flavor)

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• Other object-oriented programming languages

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• Experience designing highly available, scalable distributed systems.

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• Strong understanding of data governance, security, compliance, and operational monitoring.

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• Bachelor’s Degree

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Preferred Qualifications

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• Databricks certification(s)

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• AWS Solutions Architect certification(s)

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• Experience implementing lakehouse architectures.

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• Experience designing streaming and real-time analytics platforms.

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• Experience within highly regulated financial services or enterprise environments.

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• Master’s Degree

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