AWS Data Architect: Data Lake & Governance Leader

Tata Consultancy Services Limited

Atlanta (GA)

On-site

USD 100,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Discretionary Annual Incentive
Medical Coverage
Parental Leaves
Identity Theft Protection
Commuter Benefits & Training Reimburse

Job summary

Tata Consultancy Services Limited in Atlanta, GA is seeking an Enterprise Architect to define and own the enterprise data architecture, focusing on cloud-first data lake designs using AWS and Medallion Architecture. You will lead data modeling standards and drive governance, security, and analytics readiness across the organization.

Responsibilities include enabling BI/analytics via optimized data models and collaborating with business and technology leaders to modernize data platforms.

Qualifications

  • Experience designing enterprise data architectures aligned with business strategy.
  • Experience with AWS data lake architectures and Medallion Architecture (Bronze, Silver, Gold).
  • Knowledge of data modeling standards (conceptual, logical, physical) for analytics and reporting.

Responsibilities

  • Define and own the enterprise data architecture aligned with business strategy and cloud-first principles.
  • Design and implement AWS-based data lake architectures.
  • Establish standards for data modeling for analytical workloads.
  • Drive architectural decisions for batch and near-real-time processing.
  • Enable BI and analytics platforms through optimized data models.
  • Establish data governance, metadata, lineage, and security practices.

Skills

Data architect

Job description

Tata Consultancy Services Limited in Atlanta, GA is seeking an Enterprise Architect to define and own the enterprise data architecture, focusing on cloud-first data lake designs using AWS and Medallion Architecture. You will lead data modeling standards and drive governance, security, and analytics readiness across the organization.

Responsibilities include enabling BI/analytics via optimized data models and collaborating with business and technology leaders to modernize data platforms.

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