Data Architect

People Consultancy Services (PCS); Jersey City (NJ); Hybrid; USD 165,000 - 262,000; Full time

Job summary

People Consultancy Services (PCS) seeks a highly experienced Data Platform Architect to lead enterprise-scale modernization across on-prem and cloud environments. You will define future-state data platform architecture, drive migrations, and mentor teams implementing Spark, Kafka, and Databricks while aligning with governance and security standards.

The role requires deep cloud and distributed system expertise, strong collaboration across engineering, infrastructure, and business units, and a

Qualifications

• 10+ years of experience in data platform architecture, data engineering, or distributed systems.
• Proven experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.

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.
• 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.

Skills

Data platform architecture

Cloud architectures

Distributed computing

Data engineering

Large-scale data migrations

Cloud-native services

Java

Python

SQL

Data governance & security

Tools

Databricks

Spark

Kafka

Hadoop

AMPS

MQ

Snowflake

Teradata

Oracle

Job description

Job Location: Jersey City, NJ (3 Days onsite, 2 Days Remote) Hybrid role.

Job Type:12+ Months contract

Note: We need someone with Hand's on candidate.

Data Platform Architect:

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.
• 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.

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.

Preferred Qualifications

• Experience implementing lakehouse architectures.
• Experience designing streaming and real-time analytics platforms.
• Experience within highly regulated financial services or enterprise environments.