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Lead Data Architect

Gmail 240

Memphis, Tennessee, United States1 month ago
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Job Type

full time

Description

Lead Data Architect

Type: C2C/W2 | Onsite (Locals Preferred)
Location: Memphis, TN, USA

Job Summary:
Seeking a Lead Data Architect with 10+ years of experience in data engineering, cloud migration, and architecture design. The role involves leading end-to-end data modernization projects across AS400 and GCP environments, ensuring data quality, scalability, and availability to support analytics and business operations.

Key Responsibilities:

  • Lead design and implementation of enterprise data solutions and cloud migration (AS400 GCP).
  • Develop, optimize, and maintain ETL pipelines, data models, and storage solutions.
  • Collaborate with cross-functional teams to define architecture standards and data governance practices.
  • Integrate and transform data from multiple systems into unified Lakehouse structures.
  • Work with data scientists and analysts to enable analytics, visualization, and ML workloads.
  • Mentor junior engineers and ensure adherence to best practices.
  • Monitor and enhance performance, security, and cost efficiency of data systems.

Required Skills & Experience:

  • 10-12 years in Data Engineering / Architecture with lead or senior-level experience.
  • Strong in AS400 (IBM iSeries) data extraction and modernization.
  • Hands-on GCP experience BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage.
  • Proven experience in data migration, modern data platforms, and data modeling.
  • Proficiency in Python, SQL, or Java for data pipeline development.
  • Expertise with BI tools Power BI, Tableau, etc.
  • Familiar with data mesh / lakehouse architectures, integration frameworks, and governance.
  • Strong communication, analytical, and leadership skills.

Education:

  • Bachelor's in computer science or related field.

  • GCP / Cloud certifications preferred.

This job is found at InterviewStack.io

Skills

gcpscalabilityanalyticsetlbigquerydata modelingpythonsqljavadata pipelinespower bitableaudata governancedata quality