Data & AI Architect

HTC Global Services, Inc.; Grand Rapids (MI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid and Workplace flexibility

Well-defined career development plan

Rewards & Recognition program

L&D focuses on upskilling

Hands-on experience on Emerging Tech &

Job summary

HTC Global Services is seeking an experienced Enterprise Data Architect to lead design, governance, and deployment of scalable data platforms across cloud and on-prem environments.

The role emphasizes data modeling, governance, data integration, and AI/ML enablement, collaborating with stakeholders, data engineers, analytics teams, and solution architects to ensure scalable, secure, and high-performing solutions.

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.

Responsibilities

• 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.

Skills

Communication

Stakeholder management

Leadership

Mentoring

Analytical thinking

Problem solving

Education

Bachelor's or Master's in CS/IS/Data Science

Tools

Snowflake

Databricks

Azure Synapse

Microsoft Fabric

AWS Redshift

Google BigQuery

dbt

Informatica

Talend

Kafka

SQL Server

Oracle

MongoDB

Microsoft Purview

Collibra

Alation

Unity Catalog

Python

SQL

PySpark

Scala

Git

GitHub Actions

CI/CD

Terraform

Job description

Location: Grand Rapids (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Hybrid | Job Code: 244581

Job Description:

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

• 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

• AWS

Data Platforms

• Snowflake
• Databricks
• Microsoft Fabric
• BigQuery
• Redshift

Programming

• Python
• SQL
• PySpark
• Scala (preferred)

Data Integration

• dbt
• Informatica
• Talend
• Kafka

Databases

• SQL Server
• Oracle
• MongoDB

Data Governance

• Microsoft Purview
• Collibra
• Alation
• Unity Catalog

DevOps

• Git
• 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.
• 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

• High-quality, scalable, and secure data platforms.
• 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.

At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

• Hybrid and Workplace flexibility
• Work-Life-Balance
• Well-defined career development plan
• Rewards & Recognition program
• L&D focuses on upskilling
• Hands-on experience on Emerging Technologies and Digital Transformation
• Career Mobility programs