Data Platform Architect
$70 - $80 per hourAkkodis
Akkodis is seeking a Data Platform Architect f or a Contract job with a client in Jersey City (Hybrid) . Ideally looking for applicants with a background in the financial services industry.
Rate Range: $70-80/Hr; The rate may be negotiable based on experience, education, geographic location, and other factors.
Job Summary
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.
Preferred Qualifications
- Databricks certification
- AWS Solutions Architect certification
- Experience implementing lakehouse architectures.
- Experience designing streaming and real-time analytics platforms.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at View email address on click.appcast.io
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit .
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
· San Francisco Fair Chance Ordinance
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