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Data and Analytics Architect – MS Fabric
SysLogic, Inc.. Lead the design of modern data and analytics platforms with Microsoft Fabric .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data and analytics solutions using Microsoft Fabric, with a strong focus on data governance, integration, and architecture. Proven ability to lead teams and collaborate with stakeholders to align technical solutions with business needs.
Highest-signal resume keywords
Microsoft Fabric ExpertiseData ModelingData IntegrationData GovernanceAzure DevOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data WarehousingETL/ELT DevelopmentPipeline OrchestrationPerformance TuningData QualityMetadata ManagementSQL ServerAzure Synapse AnalyticsData SecurityData Architecture
Soft Skills
Clear CommunicationBusiness AcumenCollaborationLeadershipRequirements Elicitation
Tools & Technologies
Azure Data FactoryAzure Data Lake StoragePower BI PremiumGitHubAgile/Scrum
Certifications & Qualifications
Microsoft Certifications
Industry Keywords
Data GovernanceData QualityComplianceAnalyticsCloud Data Platforms
Tech Stack
Tools & technologiesAzureCloudERPETLSparkSQLSSIS
About the role
Key responsibilities & impact- Lead the design of modern data and analytics platforms with Microsoft Fabric
- Partner with clients, business analysts and stakeholders to translate business requirements into scalable data and analytics solutions
- Assess current data environments, define target architectures and build phased roadmaps
- Select architecture patterns and communicate trade-offs to stakeholders
- Design end-to-end Microsoft Fabric architectures covering OneLake, Lakehouse, Warehouse, data integration, data modeling, semantic models and reporting
- Design integrations from ERP, CRM, SaaS, APIs, files and streaming sources using batch, incremental and change data capture patterns
- Lead modernization and migration of SQL Server, SSIS/SSAS, Azure Synapse Analytics and Power BI Premium workloads to Microsoft Fabric
- Design semantic layers and reporting standards and guide report developers
- Size, monitor and optimize Fabric capacity and consumption costs and resolve performance bottlenecks
- Define data governance, quality, lineage and metadata practices and partner with Security on privacy and compliance
- Conduct architecture reviews and assessments and recommend scalable, secure, high-performance solutions
- Provide technical leadership to data engineers, analysts and team members
- Collaborate across organizational practices to meet quality and security standards
- Support sales pursuits through solution approaches, estimates, SOW inputs and client presentations
- Remain hands-on from discovery and design through delivery and handoff
Requirements
What you’ll need- Data modeling (dimensional and normalized), data warehousing, and lakehouse and medallion design
- Data integration across diverse sources, ETL/ELT development, pipeline orchestration and performance tuning
- Data governance, data quality, metadata management, lineage and master data concepts
- Data security and compliance considerations in the context of analytics
- Source control and CI/CD with Azure DevOps or GitHub, and delivery within Agile/Scrum methodologies
- Experience with Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL and SQL Server
- Microsoft Fabric expertise across OneLake, Lakehouse, Warehouse, Eventhouse, Data Factory, Dataflows Gen2, Spark notebooks, semantic models, workspaces, capacities, security, governance, Git integration and deployment pipelines
- Eight or more years of professional data and analytics experience, including at least three years in an architect role
- Architect on at least two production Microsoft Fabric implementations
- At least one full-lifecycle greenfield architecture engagement
- Bachelor's degree in computer science, Data Science, Information Systems or a related field, or equivalent professional experience
- Leads requirements elicitation, design and brainstorming sessions with internal and client teams
- Clear, professional written and verbal communication with technical and business audiences at all levels
- Business acumen to align solution design with client needs
- Ability to participate in ad hoc meetings, on short notice with groups of all sizes
- Preferred: Microsoft certifications, exposure to Databricks, Snowflake or other cloud data platforms, pre-sales and estimating experience, and AI/ML analytics workflows
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Long Term Disability
- Training & Development
- Work Life Balance
- No company politics.
- Strong employee focused culture