Data Architect

Akkodis, Inc.
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,600.0 - $151,840.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Business Analytics Applications Big Data Cloud Computing Data Architecture Information Engineering Data Governance Data Infrastructure Data Migration Data Security Distributed Systems
+20 more
Apache Hadoop Python (Programming Language) Enterprise Messaging Systems Object-Oriented Software Development Oracle (Applications) Performance Tuning DataOps Software Engineering SQL Databases Teradata SQL Enterprise Data Management Data Storage Technologies Cloud Platform System Snowflake Apache Spark Apache Kafka Vertica Stream Analytics Serverless Computing Databricks

Job description

Akkodis is seeking Data Platform Architect for a Contract job with a client in Jersey City, NJ - Hybrid (3 days on site in a Week). Ideally looking for applicants with a solid background in the financial services industry., * 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., * 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.

Requirements

  • 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

Benefits & conditions

Pay: $70-73/hour - All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors.

About the company

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers

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