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Data Analytics Architect- Microsoft Technology

1 month ago
United States
Full-time
Senior
Data Architect
Data Science and Analytics
Agile Azure Git HIPAA JIRA Kanban Power BI Python R Scrum SQL SQL Server SVN
Apply Now
SysLogic

SysLogic

SysLogic is an information systems consulting and services firm that specializes in helping businesses enhance efficiency and reduce costs through the optimization of processes and the implementation of advanced technology solutions.

Internet Software & Services
51-250
Founded 1995
View All Jobs

Description

  • Collaborate with Business Analysts to translate business requirements into scalable, efficient data analytics solutions using Microsoft platforms.
  • Design and architect end-to-end data analytics solutions including data integration, data warehousing, data modeling, data visualization, and reporting.
  • Work with the Director, Delivery Experience and Application and Analytics Business Solution Advisor on solution design, architecture, and project estimation.
  • Implement data integration pipelines using tools such as Azure Data Factory and Azure Data Lake to extract, transform, and load data from various sources into a unified platform.
  • Create visually appealing and interactive dashboards, reports, and visualizations using Power BI to enable actionable insights for users.
  • Review existing data architectures to identify gaps and risks, recommend improvements, and ensure alignment with enterprise standards and scalability needs.
  • Identify and resolve performance bottlenecks by implementing optimizations to improve data processing, query performance, and overall system efficiency.
  • Provide technical leadership and guidance to clients, data engineers, analysts, and cross-functional stakeholders to ensure successful project delivery.
  • Execute across all stages of the data software development lifecycle and apply best practices and emerging techniques in analytics solution design and implementation.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Information Systems or related field preferred, or equivalent professional experience; Master’s in data science or analytics is a plus.
  • Minimum 5+ years as a Data Analytics Architect or Senior Data Integration Developer (Data Engineer) focused on Microsoft technologies and 10+ years of overall data-related experience.
  • Deep expertise with Microsoft data analytics technologies including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Power BI, SQL Server, and Azure Analysis Services.
  • Strong proficiency in data modeling (dimensional and normalized), data integration (ETL/ELT), data warehousing, metadata management, data governance, and data quality principles.
  • Experience with pipeline orchestration, performance tuning, and implementing scalable, secure, high-performance data architecture.
  • Familiarity with AI/ML integration in analytics workflows (Azure Machine Learning, Python, or R) is a plus.
  • Experience using source control and project tools (Azure DevOps, Git, JIRA, SVN) and delivering within Scrum/Agile/Kanban methodologies.
  • Solid understanding of data security and compliance considerations in cloud environments and familiarity with standards such as HIPAA, GDPR, and SOC2 is beneficial.
  • Strong verbal and written communication, stakeholder collaboration, requirements elicitation, and customer-service skills.
  • Willingness to travel 4–6 times per year (no more than 24 days away from home per calendar year) and reside (at time of application) in one of the following states: WI, IL, MI, IA, OH, IN, NC, SD, AR, FL, or AZ.

Benefits

  • Health care plan including medical, dental, and vision coverage.
  • Retirement plan options (401k, IRA).
  • Life insurance (basic, voluntary, and AD&D) and long-term disability coverage.
  • Paid time off including vacation, sick leave, and public holidays.
  • Family leave benefits (maternity and paternity).
  • Training and development opportunities.
  • Work-from-home / remote work arrangements.

Interested in this position?

Apply directly on the company website

Apply Now

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