Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
SQL
Hadoop
gcp
Data Architect
Kubernetes
Job Details
Job Description Data Architect
Location: Sunrise, FL
Work Mode: Onsite from Day 1
Experience: 12 18 years
Employment Type: Contract
Role Summary
We are seeking a seasoned Data Architect with deep expertise in enterprise data platforms to design, build, and optimize large-scale data solutions. The role requires strong hands-on capabilities across Big Data technologies, cloud-native data services (Google Cloud Platform), and customer-centric data architectures such as Customer 360.
Key Responsibilities
- Architect and lead enterprise data warehouse and data lake solutions.
- Design and implement scalable Big Data pipelines using Hadoop, Spark, SQL, and Python.
- Build and support Customer Data Management / Customer 360 architectures.
- Perform deep data exploration, profiling, and advanced analytics to support business use cases.
- Design and deploy solutions on Google Cloud Platform (Google Cloud Platform), leveraging:
- Dataflow
- Dataproc
- Kubernetes / containerized workloads
- Collaborate closely with business, analytics, and engineering teams in an onsite environment.
- Ensure data quality, performance, scalability, and governance best practices.
Required Qualifications
- 12 18 years of overall IT experience with strong focus on data architecture.
- Extensive hands-on experience with Big Data and Hadoop ecosystem.
- Strong programming and query skills in SQL, Python, and/or Spark.
- Solid understanding of data warehousing concepts, dimensional modeling, and analytics.
- Proven experience with Google Cloud Platform data services (Dataflow, Dataproc) and containers (Kubernetes).
- Excellent communication and interpersonal skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.