Data Architect Onsite

Acunor Inc

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profile Job Location:

Sunrise, FL - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

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 (GCP) 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 (GCP) 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 GCP data services (Dataflow Dataproc) and containers (Kubernetes).
  • Excellent communication and interpersonal skills.
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 solut...
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