Job Description

Job Title : Data Platform Architect

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

Duration : 12+ Months Contract

W2 Role only!! No C2C!

Job 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.

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

Preferred Qualifications

• Databricks certification(s)
• AWS Solutions Architect certification(s)
• Experience implementing lakehouse architectures.
• Experience designing streaming and real-time analytics platforms.
• Experience within highly regulated financial services or enterprise environments.
• Master’s Degree

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