Data Architect

HMG AMERICA LLC; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

HMG AMERICA LLC seeks a Senior Data Engineering Lead to drive Data Foundation and Platform Modernization using a Databricks Lakehouse. You will define a unified data model for SCM, set enterprise standards, and govern cross-domain data assets across Bronze, Silver, Gold, and Semantic layers.

You will lead onsite and offshore teams, influence architecture, and partner with executives to deliver scalable, governed data platforms that enable analytics at scale.

Qualifications

• Extensive experience with Databricks Lakehouse and governance.
• Proven ability to design SCM data models and semantic layers.
• Strong leadership of onsite and offshore engineering teams.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold).
• Excellent stakeholder management and communication skills.

Responsibilities

• Lead design and implementation of a modern enterprise data platform using Databricks Lakehouse.
• Drive cloud-native migrations and modernization of data ecosystems.
• Define enterprise standards for scalability, security, and cost optimization.
• Govern a comprehensive SCM Unified Data Model across layers.
• Establish Bronze, Silver, Gold and Semantic layers per Medallion Architecture.
• Mentor global teams and align data strategy with business goals.
• Collaborate with executives to translate strategy into scalable solutions.

Skills

Databricks Lakehouse

Unity Catalog

Databricks SQL

PySpark

Data Modeling

Data Warehousing

Semantic Layer Design

Data Platform Modernization

Medallion Architecture

Data Governance

Metadata Management

Data Quality Frameworks

Security & Access Controls

Tools

Databricks

Big Data Tools

Job description

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 ResponsibilitiesData 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.
• 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
• Unity Catalog
• Databricks SQL
• PySpark
• Strong expertise in:
• 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
• 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.