Argano · 11 hours ago
Data Architect - Microsoft Fabric
Argano is a digital consultancy focused on high-performance operations. They are seeking an experienced Data Architect to lead enterprise-scale data unification and Customer 360 programs on Microsoft Azure and Microsoft Fabric, focusing on establishing a single golden record and supporting AI-ready datasets.
Information ServicesInformation TechnologyManagement Consulting
Responsibilities
Architect and deliver complex, multi-year data unification and Customer 360 solutions
Design and implement Master Data Management (MDM) capabilities: identity resolution, match/merge logic, survivorship rules, and stewardship workflows
Build and operate scalable, automated data pipelines across cloud and on-prem sources; hands-on experience with Profisee (MDM) and Fivetran (integration)
Develop and optimize solutions on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, and Microsoft Fabric (including lakehouse/medallion patterns)
Establish and operationalize data governance frameworks: data cataloging, lineage tracking, stewardship operating models, access controls, and regulatory/compliance policies; experience integrating Microsoft Purview is a plus
Define and monitor data quality baselines (accuracy, consistency, completeness, timeliness) and drive continuous improvement
Create and evolve semantic models to support analytics, reporting, and AI scenarios; enforce standardized definitions and calculations
Lead change management and stakeholder engagement to drive adoption and value realization
Apply DataOps practices for observability, performance tuning, hypercare, and post–go-live optimization
Collaborate with executive, business, and IT stakeholders; translate business needs into clear technical designs and roadmaps
Qualification
Required
Proven success delivering complex, multi-year Customer 360 initiatives in multi-system environments
Hands-on expertise with Profisee (MDM) and Fivetran (data integration)
Deep experience with Microsoft Azure data services and Microsoft Fabric
Strong background in data governance frameworks and operationalizing data quality and compliance (Purview experience preferred)
Proficiency in semantic modeling and analytics enablement (Power BI)
Excellent communication, documentation, and cross-functional collaboration skills
Data Modeling: Proficiency in creating and maintaining conceptual, logical, and physical data models
Database Management: Expertise in working with various database management systems (DBMS) such as SQL Server, Oracle, MySQL, or others
Data Integration: Experience in designing and implementing data integration solutions. Knowledge of ETL (Extract, Transform, Load) processes and tools
Data Governance and Quality: Ability to ensure data quality and implement data quality frameworks
Data Security: Knowledge of data security best practices and experience implementing data security measures
Programming and Scripting: Proficiency in programming languages such as SQL, Python, or others used for data manipulation and analysis
Communication: Strong communication skills to collaborate with cross-functional teams and explain complex technical concepts to non-technical stakeholders
Problem-Solving: Advanced problem-solving and analytical skills
Adaptability: Willingness to learn and adapt to new technologies and tools
Preferred
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Fabric Data Engineer Associate
Microsoft Certified: Power BI Data Analyst Associate
DAMA Certified Data Management Professional (CDMP)
Certified Information Management Professional (CIMP) – Data Governance or Data Quality track
Profisee Certified Professional (if available)
Company
Argano
Argano is a next-generation business and technology services provider that builds digital foundations that help businesses run better.
H1B Sponsorship
Argano has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (30)
2024 (12)
2023 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2021-05-03Acquired
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