Data Architect

Atlanta, GA, US • Posted 23 hours ago • Updated 23 hours ago
Full Time
On-site
$100,000 - $150,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Architecture
  • Data Engineering
  • Data Governance
  • Data Quality
  • Data Processing
  • Extract
  • Transform
  • Load
  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • IT Management
  • Computer Networking
  • Dashboard
  • Data Lake
  • Data Modeling
  • ELT
  • Encryption
  • Analytics
  • Business Intelligence
  • Business Strategy
  • Meta-data Management
  • Microsoft Power BI
  • Analytical Skill
  • Cloud Computing
  • Collaboration
  • Leadership
  • Mentorship
  • SaaS
  • Semantics
  • Streaming
  • Tableau
  • Roadmaps
  • KPI
  • Advanced Analytics
  • Orchestration
  • Real-time
  • Regulatory Compliance
  • Reporting
  • Privacy

Summary

Job Role: Data Architect

Location: Atlanta, GA

Job Description:

Roles & Responsibilities

Key Responsibilities

Data Architecture & Design

  • Define and own the enterprise data architecture aligned with business strategy and cloud-first principles.
  • Design and implement AWS-based data lake architectures, leveraging Medallion Architecture (Bronze, Silver, Gold layers).
  • Establish standards for data modeling (conceptual, logical, and physical) for analytical and reporting workloads.
  • Drive architectural decisions for batch and near real-time data processing.

AWS & Cloud Technologies

  • Architect solutions using AWS services such as:
  • S3, Glue, Athena, Redshift, Lake Formation
  • EMR, Lambda, Step Functions
  • Kinesis / MSK (streaming, where applicable)
  • Ensure architectures are secure, scalable, cost-optimized, and highly available.
  • Collaborate with cloud platform teams to align on networking, IAM, encryption, and governance.

Data Engineering & Integration

  • Guide data ingestion patterns from multiple sources (operational systems, SaaS platforms, APIs, streaming sources).
  • Define standards for ETL/ELT pipelines, orchestration, and data quality frameworks.
  • Partner with Data Engineering teams to ensure architectural integrity during implementation.

Business Intelligence & Analytics

  • Enable BI and analytics platforms (e.g., Power BI, Tableau, QuickSight) through optimized data models and semantic layers.
  • Design Gold-layer datasets optimized for reporting, dashboards, and advanced analytics.
  • Ensure consistency and reliability of enterprise KPIs and metrics.

Governance, Quality & Security

  • Establish data governance principles including metadata management, lineage, cataloguing, and stewardship.
  • Define data quality rules, monitoring, and remediation processes.
  • Ensure compliance with enterprise security, privacy, and regulatory requirements.

Leadership & Collaboration

  • Act as a trusted advisor to business and technology leadership.
  • Review and approve solution designs, ensuring alignment with target architecture.
  • Mentor data engineers, analysts, and junior architects.
  • Contribute to roadmap planning and modernization initiatives.
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.
  • Dice Id: 10217521
  • Position Id: 9097487
  • Posted 23 hours ago
Contact the job poster
RB

Rajat Bhoyar

Recruiter @ Ztek Consulting
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