Lead Data Architect

4 weeks ago


Vernon Hills, United States Pave Talent Full time

Company Overview: Pave Talent is hiring on behalf of our client, seeking a Data Architecture Lead to spearhead data architecture efforts in robotic process automation (RPA) and explore the integration of artificial intelligence (AI) for future success. This hybrid role in Vernon Hills, Illinois, offers a unique opportunity to join a forward-thinking team dedicated to innovation and efficiency.


Position Overview: As the Data Architecture Lead, you will be responsible for designing and leading the data architecture initiatives, focusing on RPA and AI. This role requires a strategic thinker with strong technical skills and the ability to collaborate with various stakeholders.


Responsibilities:

  • Design and Architecture: Lead the design and architecture efforts for the data warehouse and other analytical systems.
  • Collaboration: Work with business analysts and stakeholders to understand existing processes and identify opportunities for automation and AI integration.
  • Process Analysis: Conduct in-depth process analysis to discover AI opportunities, recommend process changes, and ensure alignment with business goals.
  • Industry Trends: Stay updated with industry trends, best practices, and emerging technologies in AI, Machine Learning, and RPA.
  • RPA Improvement: Propose and implement improvements to existing RPA solutions to enhance efficiency and effectiveness.
  • Team Management: Manage a small team of direct reports, providing goal setting, coaching, and collaboration while maintaining the company culture.


Qualifications:

  • Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience: 10 years of relevant experience, with at least 5 years leading a data architecture or data engineering team.
  • Technical Skills: Familiarity with Databricks, Azure Data Factory, and Azure Synapse Analytics.
  • Programming Skills: Proficiency in SQL and Python.
  • AI and Machine Learning: Experience with AI and Machine Learning concepts.
  • RPA Knowledge: Understanding of RPA technologies.
  • Communication Skills: Ability to communicate effectively with technical and non-technical stakeholders.


Benefits:

  • Comprehensive Coverage: 401(k) plan, Medical, Dental, Life, Disability, and Business travel insurance.
  • Additional Perks: Flexible spending accounts, Employee Assistance Program (EAP), stock purchases, and generous vacation/sick days/parental leave.


Ready to lead and innovate in the field of data architecture and AI? Apply now to join a team that values forward-thinking and excellence



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