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SysLogic, Inc.
SysLogic, Inc.
51 – 200 Darbinieki
KonsultācijasRažošanaVeselības aprūpe
Founded in 1995, SysLogic, Inc. is an information systems consulting and services firm that helps organizations improve efficiency and manage costs through process and technology improvements. Its work spans business and technology strategy, cybersecurity, enterprise architecture, application development, and data management. Working with AWS and Microsoft, SysLogic delivers IT strategy, cybersecurity, data analytics architecture, and custom application development services. The company serves clients in consulting, healthcare, and manufacturing; the supplied profile does not specify current hiring details.
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Vakances uzņēmumā

Senior Microsoft Fabric Data and Analytics Architect

Design and deliver Microsoft Fabric data platforms for SysLogic consulting clients. Lead architecture, migrations, governance, optimization, and presales solution development.

USAmerikas Savienotās ValstisAZArizonaILIlinoisaIAAiovaMIMičiganaNCZiemeļkarolīnaOHOhaioSDDienviddakotaWIViskonsinaAttālinātiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuArhitekts
AzureERPETLMākonisSparkSQLSSIS

Apraksts

  • Design modern data and analytics platforms using Microsoft Fabric
  • Translate business needs into scalable solutions with clients, analysts, and stakeholders
  • Evaluate existing data environments, define target architectures, and develop phased roadmaps
  • Choose architecture patterns and explain trade-offs to stakeholders
  • Create end-to-end Microsoft Fabric architectures spanning OneLake, Lakehouse, Warehouse, integration, modeling, semantic models, and reporting
  • Build batch, incremental, and change data capture integrations for ERP, CRM, SaaS, API, file, and streaming sources
  • Lead migrations of SQL Server, SSIS/SSAS, Azure Synapse Analytics, and Power BI Premium workloads to Microsoft Fabric
  • Establish semantic layers and reporting standards, and guide report developers
  • Manage Fabric capacity and consumption costs, monitor usage, and address performance bottlenecks
  • Set data governance, quality, lineage, and metadata practices with Security partners on privacy and compliance
  • Review architectures and recommend scalable, secure, high-performance solutions
  • Guide data engineers, analysts, and other team members technically
  • Work across organizational practices to meet quality and security standards
  • Contribute to sales pursuits with solution approaches, estimates, SOW inputs, and client presentations
  • Stay hands-on from discovery and design through delivery and handoff

Prasības

  • Knowledge of dimensional and normalized data modeling, data warehousing, and lakehouse and medallion design
  • Experience integrating diverse data sources, developing ETL/ELT, orchestrating pipelines, and tuning performance
  • Understanding of data governance, quality, metadata management, lineage, and master data concepts
  • Knowledge of data security and compliance for analytics
  • Experience with source control and CI/CD using Azure DevOps or GitHub, and delivery in Agile/Scrum environments
  • Experience with Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL, and SQL Server
  • Microsoft Fabric expertise spanning OneLake, Lakehouse, Warehouse, Eventhouse, Data Factory, Dataflows Gen2, Spark notebooks, semantic models, workspaces, capacities, security, governance, Git integration, and deployment pipelines
  • At least eight years of professional data and analytics experience, including three or more years as an architect
  • Architect experience 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
  • Ability to lead requirements gathering, 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
  • Availability to join ad hoc meetings at short notice with groups of varying sizes
  • Preferred: Microsoft certifications; exposure to Databricks, Snowflake, or other cloud data platforms; presales and estimating experience; and AI/ML analytics workflow experience

Priekšrocības

  • Medical, dental, and vision health care plan
  • 401(k) retirement plan
  • Basic and voluntary life insurance, including AD&D
  • Paid vacation, sick leave, and public holidays
  • Maternity and paternity leave
  • Long-term disability coverage
  • Training and development
  • Work-life balance
  • A workplace without company politics
  • An employee-focused culture

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