Job Description
Due to organizational growth, SysLogic is seeking an experienced Data Analytics Architect with a strong focus on Microsoft technologies to join our team. As a Data Analytics Architect, you will play a critical role in designing, implementing, and optimizing data analytics solutions for our clients leveraging Microsoft’s suite of tools and technologies. The Data Analytics Architect will work closely with the Director, Delivery Experience and Application and Analytics Business Solution Advisor on a variety of topics, including solution design and architecture and project estimation. This role is technically focused and requires the ability to execute in all the stages of the data software development lifecycle.
PRIMARY RESPONSIBILITIES:
- Collaborate Business Analysts to translate business requirements into scalable and efficient data analytics solutions utilizing Microsoft technologies.
- Exhibit in-depth knowledge and hands-on experience architecting solutions 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.
- Review existing and 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.
- 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.
Professional Experience:
- 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.
- Five or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on Microsoft technologies. Should possess a minimum o f 10 years overall data related experience illustrating progressive growth of experience and competencies.
- 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 and participate in requirements elicitation and brainstorming sessions with internally and externally facing teams both in ad hoc and structured environments.
- Experience mentoring team members and promoting high standards in data engineering system design
Technical Experience:
- 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 creating data architecture, 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.
Travel Required:
Position can work remotely with travel 4-6 times per year with no more than 24 days away from home per calendar year.
For this remote role, we are only accepting candidates that reside in the following states: Wisconsin, Illinois, Michigan, Iowa, Ohio, Indiana, North Carolina, South Dakota, Arkansas, Florida or Arizona.
Candidates may be required to travel to the SysLogic offices as part of the interview process.
- 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
