Data Analytics Architect- Microsoft Technology

• Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions utilizing Microsoft technologies.
• Possess in-depth knowledge and hands-on experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Services, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools.
• Develop end-to-end data analytics architectures, including data integration, data warehousing, data modeling, data visualization, and reporting, leveraging Microsoft platforms.
• Confidently lead and conduct comprehensive reviews and assessments of existing data architectures to identify gaps, recognize risks, recommend improvements, and ensure alignment with enterprise standards and future scalability.
• Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
• Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI, enabling users to gain valuable insights from data.
• Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
• Partner with our Security practice to ensure data security, privacy, and compliance with relevant regulations and standards are met.
• Collaborate with cross-functional teams, providing technical leadership and guidance to clients, data engineers, analysts, and other stakeholders to ensure successful project delivery.
• Participate in the development of the data analytics team and drive initiatives that promote collective learning and team growth.
• Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.

• Bachelor’s degree in computer science, Data Science, Information Systems or related field desired or applicably aligned professional experience. Master's degree in data science or analytics is a plus.
• Relevant certifications: (Microsoft Azure Solutions Architect Expert, Power BI Data Analyst Associate, etc.) are a plus.
• Ten or more years’ professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on Microsoft technologies.
• Strong verbal and written communication and collaboration skills, with the ability to effectively interact with stakeholders, at all levels, in all environments, scheduled and impromptu.
• Innovative with a demonstrated curiosity to expand skills and adapt to a changing technological landscape to meet clients growing needs and challenges.
• Presents and maintains a strong professional presence in interactions with all levels of the organization as well as client environments.
• Superior customer service focus demonstrated ability to work closely with them to identify and resolve any potential communication or technical issues.
• Ability to present, facilitate and participate in requirements elicitation and brainstorming sessions with internally and externally facing teams both in both adhoc and structured environments.
• Advanced experience in the facilitation and elicitation of information to design needs focused solutions while ensuring all key contributors are heard.
• Ability to navigate through differing viewpoints in a proactive and congenial manner.
• Experience mentoring team members and promoting high standards in data engineering system design

• Proficiency in data modeling, data integration, and data visualization techniques using Microsoft technologies.
• Strong problem-solving skills and ability to design scalable and efficient data analytics architectures.
• Excellent understanding of data warehousing concepts, data governance, and data quality principles.
• Solid knowledge of data security and compliance considerations in the context of data analytics.
• Deep expertise in 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 understanding of data architecture principles, including data modeling (dimensional and normalized), metadata management, and data governance.
• Experience conducting data architecture reviews and assessments, identifying gaps, recognizing risks and recommending scalable, secure, and high-performance solutions.
• Proficiency in ETL/ELT development, data pipeline orchestration, and performance tuning.
• Familiarity with AI/ML integration in analytics workflows using tools like Azure Machine Learning, Python, or R is a plus.
• Strong background utilizing source control management tools (Azure DevOps, Git, JIRA SVN.)
• Continuous exposure to delivering within development or other relevant methodologies (Scrum, Agile, KANBAN)
• Familiarity with data security and compliance standards (e.g. HIPAA, GDPR, SOC2) in cloud environments beneficial.

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Long Term Disability
• Training & Development
• Work From Home

SysLogic, Inc.