Data Architect

Anblicks; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Anblicks is seeking a Data Architect to lead the design and implementation of enterprise data platforms supporting analytics transformation, data modernization, AI/ML, and cloud migration initiatives.

The role emphasizes Snowflake and/or Databricks expertise, cloud-native architectures, governance, and data mesh. You will drive self-service analytics and collaborate with stakeholders across the business from Dallas, Texas.

Qualifications

• 10+ years in Data Engineering, Data Warehousing, Data Architecture, or Analytics
• 5+ years designing cloud data platforms
• Proven experience leading Enterprise Analytics Transformation or Data Modernization programs
• Experience designing solutions for large-scale enterprise reporting, analytics, and AI initiatives

Responsibilities

• Define and own enterprise data architecture strategy
• Design scalable, secure data platforms using Snowflake and/or Databricks
• Architect enterprise-wide Data Warehouses, Data Lakehouses, Data Lakes, and Analytics Platforms
• Lead architecture decisions across structured, semi-structured, and streaming data environments
• Establish architecture standards, governance models, and best practices
• Lead data modernization initiatives migrating from legacy platforms
• Enable self-service BI and advanced analytics platforms
• Drive Data Mesh, Data Fabric, and Lakehouse adoption strategies
• Support AI/ML and GenAI enablement through scalable data architecture
• Collaborate with business stakeholders and leadership

Skills

Analytical Skills

Leadership

Stakeholder mgmt

Cloud concepts

Data Modeling

Data Governance

Communication

Tools

Snowflake Data Cloud

Databricks Lakehouse Platform

AWS Data Services

SQL Optimization

Python

Real-Time Processing

Job description

Job Title: Data Architect - Enterprise Analytics Transformation (Snowflake / Databricks)

Experience: 10+ Years

Role Summary

We are seeking a highly experienced Data Architect to lead the design and implementation of modern enterprise data platforms supporting large-scale Analytics Transformation, Data Modernization, AI/ML, and Cloud Migration initiatives. The ideal candidate will have deep expertise in Snowflake and/or Databricks, modern data architecture patterns, and cloud-native solutions.

This role will be responsible for defining enterprise data strategy, architecting scalable data platforms, enabling self-service analytics, and driving transformational programs that deliver business value through data.

Key Responsibilities

• Define and own enterprise data architecture strategy aligned with business and analytics objectives.
• Design scalable, secure, and high-performance data platforms using Snowflake and/or Databricks.
• Architect enterprise-wide Data Warehouses, Data Lakehouses, Data Lakes, and Analytics Platforms.
• Lead architecture decisions across structured, semi-structured, and streaming data environments.
• Establish architecture standards, frameworks, governance models, and best practices.

Analytics Transformation & Modernization

• Lead data modernization initiatives involving migration from legacy platforms such as Teradata, Oracle, Netezza, SQL Server, Hadoop, and Informatica.
• Design target-state architectures for enterprise analytics and reporting.
• Enable self-service BI and advanced analytics platforms.
• Drive Data Mesh, Data Fabric, and Lakehouse adoption strategies.
• Support AI/ML and GenAI enablement through scalable data architecture.

Snowflake / Databricks Architecture

• Design and optimize Snowflake architecture including:
• Virtual Warehouses
• Data Sharing
• Snowpark
• Data Marketplace
• Security & Governance
• Performance Optimization

OR

• Design and optimize Databricks Lakehouse architecture including:
• Unity Catalog
• Medallion Architecture
• Spark Optimization
• Data Governance
• Real-Time Processing
• Define scalable ETL/ELT frameworks and ingestion patterns.
• Architect batch, real-time, and streaming data solutions.
• Establish data quality, lineage, metadata management, and governance processes.
• Design integration patterns across enterprise applications and external data sources.

Stakeholder & Leadership Management

• Collaborate with business stakeholders, product owners, analytics teams, and executive leadership.
• Present architecture roadmaps, recommendations, and business cases to leadership teams.
• Lead architecture review boards and governance forums.

Technical Leadership

• Mentor Data Engineers, Analytics Engineers, and Solution Architects.
• Define technology standards, reusable frameworks, and reference architectures.
• Drive innovation and adoption of emerging cloud and data technologies.

Required Qualifications

Experience

• 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Analytics.
• 5+ years of experience designing cloud data platforms.
• Proven experience leading Enterprise Analytics Transformation or Data Modernization programs.
• Experience designing solutions supporting large-scale enterprise reporting, analytics, and AI initiatives.

Technical Skills

Core Data Platforms

• Snowflake Data Cloud
• Databricks Lakehouse Platform
• AWS Data Services
• Data Warehousing
• Data Lakehouse Architecture
• Data Lakes
• ETL/ELT Frameworks
• SQL Optimization
• Python
• Real-Time Data Processing

Data Governance

• Data Quality Frameworks
• Metadata Management
• Master Data Management (MDM)
• Data Catalogs
• Data Security & Compliance
• AWS

Preferred Experience

• Snowflake Migration Programs
• Databricks Lakehouse Implementations
• Tableau, Power BI, Looker
• Enterprise Data Strategy & Roadmap Development
• Global Delivery Models

Preferred Certifications

Snowflake

• SnowPro Advanced Architect

Databricks

• Databricks Certified Data Architect

Cloud

• Microsoft Azure Solutions Architect Expert
• AWS Solutions Architect Professional
• Google Professional Cloud Architect
• TOGAF Certification
• Certified Data Management Professional (CDMP)

Ideal Candidate Profile

An ideal candidate will have successfully architected and delivered multiple Enterprise Analytics Transformation Programs, leading modernization initiatives from legacy environments to Snowflake and/or Databricks Lakehouse architectures. The individual should possess deep expertise in enterprise data strategy, cloud platforms, analytics architecture, governance, and stakeholder management, enabling organizations to accelerate data-driven decision-making and AI adoption at scale.