Data Architect

Shree Narayani Networking Solutions Pvt Ltd; Jersey City (NJ); On-site; USD 150,000 - 220,000; Part time

Job summary

Shree Narayani Networking Solutions Pvt Ltd in Jersey City, NJ is seeking an experienced Data Platform Architect to lead the modernization of our enterprise data ecosystem, defining architecture for large-scale transformations and cloud/on-prem integration.

The role requires 10+ years in data platforms, expertise with Spark, Kafka, Databricks, AWS, and strong leadership to guide migration, governance, and cost optimization across teams.

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, and AWS cloud services.
• Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
• Strong software engineering background with Java, Python, SQL, and other OO languages.
• Experience designing highly available, scalable distributed systems.
• Strong understanding of data governance, security, compliance, and operational monitoring.

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 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 align 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.

Skills

Data platform architecture

Cloud migration leadership

Databricks

Apache Spark

Apache Kafka

AWS

Java

Python

SQL

Security & governance

Education

Bachelor's Degree

Master's Degree

Tools

Hadoop

AMPS

MQ

Vertica

Teradata

Snowflake

Oracle

Job description

Jersey City, NJ 3 days onsite.

Job Type: 12+ Months contract
Interview Process: 2 virtual rounds; onsite interview may also be requested

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.

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