Job Title: Enterprise Data Architect Overview / Summary
We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms. The ideal candidate will define data architecture strategy, establish data standards, and collaborate with business stakeholders, data engineers, analytics teams, and solution architects to deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments.
The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement.
Key Responsibilities Enterprise Data Architecture
Define and maintain enterprise data architecture principles, standards, and best practices.
Design scalable, secure, and resilient data platforms supporting analytics, AI/ML, and operational workloads.
Create conceptual, logical, and physical data models.
Develop enterprise data roadmaps aligned with business strategy.
Data Platform Design
Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery.
Design Lakehouse, Data Warehouse, and Data Mesh architectures.
Build scalable ingestion, transformation, and serving layers.
Data Integration
Design batch, streaming, CDC, and API-based integration solutions.
Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran.
Establish reusable integration patterns and frameworks.
Data Modeling
Design star schema, snowflake schema, normalized, and dimensional models.
Develop data marts for business domains.
Optimize schemas for reporting and AI workloads.
Define master data and reference data models.
Data Governance
Establish enterprise data governance standards.
Define metadata management strategies.
Implement data lineage and catalog solutions.
Define data quality frameworks and KPIs.
Ensure compliance with GDPR, HIPAA, CCPA, and other regulatory requirements.
Performance & Optimization
Optimize query performance and storage costs.
Design partitioning, clustering, indexing, and caching strategies.
Improve platform scalability and reliability.
AI & Advanced Analytics Enablement
Design data foundations for Machine Learning and Generative AI.
Build feature stores and semantic layers.
Enable real-time analytics and predictive modeling.
Collaborate with Data Scientists and ML Engineers to support production AI solutions.
Stakeholder Collaboration
Work with business leaders to translate requirements into scalable data solutions.
Partner with engineering teams to ensure architectural compliance.
Provide technical leadership during solution design and implementation.
Mentor architects, engineers, and developers.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
5+ years of experience designing enterprise cloud data platforms.
Strong understanding of enterprise architecture principles.
Technical Skills
Cloud Platforms
Microsoft Azure
AWS
Google Cloud Platform
Data Platforms
Snowflake
Databricks
Microsoft Fabric
Azure Synapse Analytics
BigQuery
Redshift
Programming
Python
SQL
PySpark
Scala (preferred)
Data Integration
Azure Data Factory
Apache Airflow
dbt
Informatica
Talend
Kafka
Databases
SQL Server
Oracle
PostgreSQL
MongoDB
Cosmos DB
Data Governance
Microsoft Purview
Collibra
Alation
Unity Catalog
DevOps
Git
Azure DevOps
GitHub Actions
CI/CD
Terraform
Preferred Experience
Enterprise-scale cloud migration projects.
Data modernization initiatives.
Data Lakehouse implementations.
Insurance, Healthcare, Financial Services, Retail, or Manufacturing domains.
AI/ML platform architecture.
Real-time streaming architectures.
Multi-cloud environments.
Soft Skills
Strong communication and stakeholder management.
Strategic thinking with a business-first mindset.
Excellent analytical and problem-solving abilities.
Ability to influence technical direction across multiple teams.
Experience leading architecture reviews and design governance.
Strong mentoring and leadership skills.
Success Measures
Enterprise data architecture adoption.
High-quality, scalable, and secure data platforms.
Reduced data delivery timelines.
Improved data quality and governance compliance.
Optimized cloud performance and cost.
Increased business adoption of data and AI capabilities.
Successful delivery of enterprise data transformation programs.
What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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