Data Architect - Intermediate

Job Description:

• Highly proficient in data architecture disciplines with proficiency in the other disciplines.
• Highly proficient in the architecture and design of at least a single functional area.

Roles and Responsibilities:

• Collaborate with the development team to integrate data science solutions into full stack application development.
• Analyze data related to access provisioning and identify opportunities for automation and optimization.
• Develop predictive models and algorithms to enhance the SCIM broker solution's efficiency and security.
• Work with stakeholders to understand requirements and translate them into datadriven solutions.
• Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy.
• Communicate findings and insights through visualizations, reports, and presentations to both technical and nontechnical audiences.
• Stay upto-date with the latest industry trends, tools, and technologies in data science and access provisioning.

Additional Skills:

• Proficiency in programming languages such as Java, Python or R.
• Strong understanding of statistical analysis and machine learning techniques.
• Experience with data manipulation and analysis using libraries such as Pandas, NumPy, TensorFlow, Scikitlearn, PySpark or Polars.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, Powe BI , or Tableau.
• Knowledge of SQL and experience with database querying.

Dress Codes:

• Business Casual

Note:

Pay Range: $55- $60

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The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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