Data Architect

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Architect in USA . Below is the detailed job description.

Title: Data Architect

Location: USA - Remote

Duration: FTE

Job Description:

Role Overview

Seeking a Senior Data Engineering Lead to spearhead a strategic Data Foundation and Platform Modernization initiative. This leadership role will be responsible for designing and implementing a modern Databricks Lakehouse Platform, establishing enterprise-wide data standards, and defining a Unified Data Model (UDM) for the Supply Chain Management (SCM) domain.

The ideal candidate will combine deep technical expertise with architectural leadership, enabling the transformation of complex data ecosystems into scalable, governed, and business-ready data platforms.

Key Responsibilities Data Platform Modernization

• Lead the design and implementation of a modern enterprise data platform leveraging the Databricks Lakehouse architecture.
• Drive migration and modernization initiatives from legacy platforms to cloud-native data ecosystems.
• Define best practices for scalability, performance, reliability, security, and cost optimization.

Unified Data Model Architecture

• Design and govern a comprehensive Supply Chain Management (SCM) Unified Data Model spanning source systems, ingestion, transformation, semantic, and consumption layers.
• Establish enterprise standards across Bronze, Silver, Gold, and Semantic layers following Medallion Architecture principles.
• Ensure alignment of business definitions, metrics, and reporting standards across the organization.

Data Governance & Quality

• Implement robust data governance frameworks covering metadata management, lineage, security, and compliance.
• Define and enforce enterprise data quality standards, validation processes, and monitoring mechanisms.
• Promote reusability of data assets and enterprise-wide data stewardship practices.

Leadership & Delivery Management

• Lead and mentor high-performing onsite and offshore engineering teams.
• Drive architectural decisions, technical standards, and delivery excellence across multiple workstreams.
• Foster a culture of innovation, collaboration, and continuous improvement.

Stakeholder Collaboration

• Partner with business leaders, product owners, and technical stakeholders to understand strategic priorities and translate them into scalable data solutions.
• Serve as a trusted advisor for data strategy, platform transformation, and analytics enablement initiatives.
• Communicate architectural vision, progress, risks, and recommendations to executive stakeholders.

Required Qualifications

• Extensive experience with the Databricks ecosystem, including:

  • Databricks Lakehouse
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables (DLT)
  • Databricks SQL
  • PySpark

• Strong expertise in:

  • Enterprise Data Architecture
  • Data Modeling and Data Warehousing
  • Semantic Layer Design
  • Data Platform Modernization

• Proven experience designing and implementing Medallion Architecture (Bronze, Silver, Gold) patterns.

• Strong understanding of:

  • Data Governance
  • Data Lineage
  • Metadata Management
  • Data Quality Frameworks
  • Security and Access Controls

• Demonstrated ability to lead large-scale enterprise data transformation programs.

Preferred Qualifications

• 12+ years of experience in Data Engineering, Data Architecture, Data Platform Modernization, or related disciplines.
• Proven track record leading enterprise-scale Databricks Lakehouse implementations.
• Experience designing Supply Chain Management (SCM) data models and semantic consumption layers.
• Strong consulting and client-facing experience with the ability to influence senior stakeholders.
• Excellent leadership, communication, and problem-solving skills.
• Experience managing globally distributed teams and complex technology programs.