Overview
Remote
On Site
$140,000+
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data Architect
Architecture
optimization
enterprise
ecosystem
platform
leveraging
Azure
next-generation
Azure Fabric
Snowflake
Databricks
SAP
data governance
Artificial Intelligence
scalability
data ingestion
storage
datasets
data modeling
lineage
governance frameworks
stakeholders
architectural
solutions
AI/ML
analytics
real-time
data engineer
data lakehouse
ETL
ELT
Inmon
Kimball
metadata
frameworks
compliance
API
Power BI
data cataloging
Job Details
This role is not on C2C only on W2
Job Title: Senior Data Architect
Location: North Andover, MA (Hybrid), Dallas, TX or remote
Duration: Full time / Contract to Hire Salary: 140-150k + 10-15% bonus, 401k and standard benefits
About the Role:
Seeking a seasoned Senior Data Architect to lead the data Architecture, development, and optimization of our
enterprise data ecosystem. This role will drive our next-generation data platform, leveraging Azure Fabric, Snowflake,
Databricks, and SAP ecosystem to enable advanced analytics, data governance, Artificial Intelligence, and
sustainable scalability across global business units.
Key Responsibilities:
- Define and implement enterprise data architecture strategies aligned with digital transformation initiatives.
- Design data models and integration patterns across Azure Fabric, Snowflake, Databricks, and SAP environments.
- Collaborate with cross-functional teams to develop scalable data pipelines and ensure consistent usage of a unified data fabric.
- Optimize data ingestion, storage, and retrieval performance across structured and unstructured datasets.
- Establish best practices for data modeling, lineage, and governance frameworks.
- Partner with business stakeholders to translate analytical and reporting needs into robust architectural solutions.
- Guide the evaluation and adoption of modern technologies supporting AI/ML, advanced analytics, and real-time insights.
- Mentor data engineers and analysts on architecture and data management best practices.
- Bachelor s degree in computer science, Information Systems, or a related field.
- 15+ years of experience in data architecture, data engineering, data lakehouse architecture,
streaming data architecture, and enterprise data solutions design. - Organic career growth in large data ecosystems would be a big plus.
- Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools.
- Strong hands-on experience designing and implementing data solutions in Azure, Snowflake, and/or Databricks.
- Experience integrating SAP data (S/4HANA, or BW) with modern cloud data platforms.
- Deep understanding of ETL/ELT processes, data modeling (Kimball/Inmon),
Data quality, and metadata management. - Working knowledge of data governance, security, and compliance frameworks.
- Proven success leading large-scale data modernization or cloud migration initiatives.
- Mentor junior data engineers and code/design review of team members data deliverables.
- Familiarity with API-driven integrations and data virtualization concepts.
- Experience with Power BI, data cataloging, and analytics enablement.
- Excellent communication, collaboration, and stakeholder management skills.
- Strong problem-solving orientation and ability to navigate complex technical ecosystems.
- Microsoft Azure architecture or other relevant certification in cloud data domain is a plus.
The employee is occasionally required to stand, sit, and use hands to finger, handle, or feel.
The employee must occasionally lift and/or move up to 30 pounds.
Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
Work Environment: Work in both office and manufacturing environment.
May occasionally be required to perform job duties outside the typical office setting.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.