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Data Analytics Architect – Microsoft Technology
Location
Arizona + 8 moreAll locations: Arizona, Florida, Illinois, Iowa, North Carolina, Ohio, Michigan, South Dakota, Wisconsin
Posted
35 days ago
Salary
Not specified
Job Description
Job Requirements
- 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
- 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.
Benefits
- 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
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