Data Platform Architect

Dhaka Technology Limited; Jersey City (NJ); Hybrid; USD 96,000 - 103,000; Full time

Job summary

Dhaka Technologies Limited is seeking a Data Platform Architect for a 12+ month hybrid contract in Jersey City, NJ. This hands-on role requires deep enterprise data platform expertise, cloud migration experience, and leadership across engineering, architecture, and security teams.

The candidate will define target-state architectures, migrate large-scale data environments to the cloud, and drive standards, governance, and performance.

Qualifications

• 10+ years of experience in data platform architecture, data engineering, or distributed systems.
• Strong experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
• Hands-on expertise with Databricks, Spark, Kafka, and AWS cloud services.
• Experience migrating data from Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar platforms.
• Solid software engineering background with Java, Python, and SQL; knowledge of OO languages.

Responsibilities

• Define target-state architecture for enterprise data platforms and cloud-native analytics solutions.
• Lead migration of large-scale data environments from on-prem to cloud.
• Design scalable, secure data architectures for petabyte-scale workloads.
• Establish architectural standards, governance, and best practices.
• Partner with infra, security, and apps teams to align with cloud strategies.
• Evaluate technologies for storage, processing, streaming, governance, and observability.
• Provide technical leadership for Spark, Kafka, Databricks, and cloud-native services.
• Drive performance, cost management, and operational excellence across the data platform.
• Support executives with migration roadmaps and modernization strategies.

Skills

Data architecture

Cloud migration

Databricks

Apache Spark

Apache Kafka

AWS

Data governance

Security & compliance

Java

Python

SQL

Distributed systems

Education

Bachelor's Degree

Master's Degree

Tools

Databricks

Apache Spark

Apache Kafka

AWS

Vertica

Hadoop

Teradata

Snowflake

Oracle

Job description

Dhaka Technologies Limited Company | Contract

Data Platform Architect

Jersey City, United States | Posted on 10/14/2026

Job Title: Data Platform Architect
Job ID: BACJP00225062
Work Arrangement: Hybrid (3 days onsite, 2 days remote)
Location: Jersey City, NJ
Employment Type: Contract, 12+ months
Engagement Type: W2 only; US Citizens and Green Card holders (no visa sponsorship)
Final Interview: Two virtual rounds; an onsite interview may also be requested

Position Summary

Dhaka Technologies Limited Company (DTLC) is hiring a Data Platform Architect on behalf of our client, i8is, in support of their end client, Bank of America, for a 12+ month hybrid contract based in Jersey City, NJ. Candidates must be local to Jersey City, NJ, able to work on W2, be US Citizens or Green Card holders, and have an established LinkedIn profile. This is a hands‑on role: candidates must bring strong hands‑on technical skills alongside enterprise‑scale architecture experience.

Job Title: Data Architect
Job Location: Jersey City, NJ (3 Days onsite, 2 Days Remote) Hybrid role
Job Type: 12+ Months contract
Pay Range: $70 to $75/hr; the rate may be negotiable based on experience, education, geographic location, and other factors
Note: We need a hands‑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.

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
• 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