Data Platform Architect

Randstad USA

Jersey City (NJ)

On-site

USD 81,000 - 96,000

Part time

3 days ago

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Benefits offered by this job

Medical insurance

401K plan

Dental insurance

Vision

Job summary

Randstad Digital in Jersey City, NJ seeks a highly experienced Data Platform Architect to lead modernization of our enterprise data ecosystem, delivering cloud-native analytics and on-prem/cloud hybrid strategies.

The role requires 10+ years in data platform architecture and proven cloud migration leadership, with hands-on experience in Spark, Kafka, and Databricks. Expect collaboration across teams and strategic governance initiatives.

Qualifications

10+ years of experience in data platform architecture, data engineering, or distributed systems.
Proven enterprise-scale cloud migration experience involving hundreds of terabytes or petabytes.
Experience with Databricks, Spark, Kafka, and cloud-native services.

Responsibilities

Define target-state architecture for enterprise data platforms and cloud-native analytics.
Lead migration of large-scale environments from on-premises to the cloud.
Design scalable, resilient data architectures for petabyte workloads.
Establish governance, standards, and engineering best practices.
Collaborate with infra, security, and application teams to align with cloud strategy.
Evaluate technologies for data storage, processing, streaming, governance, and observability.

Skills

Data platform architecture

Cloud architectures

Distributed systems

Data governance

Leadership

Migration planning

Spark & Kafka experience

Python/Java/SQL

Education

Bachelor's Degree

Master's Degree

Tools

Databricks

Apache Spark

Apache Kafka

AWS

Vertica

Teradata

Snowflake

Hadoop

Job description

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.

Job Details

Location: Jersey City, New Jersey
Job Type: Contract
Salary: $59.75 - 69.75 per hour
Work Hours: 8am to 5pm
Education: Bachelors

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.

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.

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.
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
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

Skills

AWS cloud services
AWS Solutions
Hadoop
Kafka
Apache Kafka
Spark
Apache Spark
large-scale data
analytics solutions
cloud environment
cloud architectures
data governance
Data Platform
migrating data
secure data
data storage
data engineering best practices
Databricks
distributed computing
distributed systems
scalable distributed systems
enterprise data platforms
enterprise messaging systems
data engineering
Java
object-oriented programming languages
Oracle
performance optimization
Python
SQL
cloud-native services
Snowflake
software engineering
real-time analytics
Teradata
Vertica
resilient
AWS Solutions
architecture
Architect certification
cost management
governance frameworks
governance
infrastructure
financial services
mentorship
operational excellence
risk assessments
security
warehouse
technical leadership

Equal Opportunity Employer

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Benefits

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.