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Data Architect Lead

2 months ago

Calgary, Alberta, Canada Infosys Full time
About the Role

**Job Summary:**

We are seeking a highly skilled Data Architect Lead to join our team at Infosys. As a Data Architect Lead, you will play a key role in designing and implementing data architectures that meet the needs of our clients.

Key Responsibilities:

  • Design and Implement Data Architectures: Develop and implement data architectures that meet the needs of our clients, including data modeling, data engineering, and data governance.
  • Lead Data Engineering Teams: Lead and mentor data engineering teams to ensure the successful implementation of data architectures.
  • Collaborate with Stakeholders: Collaborate with key stakeholders to understand business requirements and design data architectures that meet those needs.
  • Develop and Maintain Data Pipelines: Develop and maintain data pipelines that integrate data from various sources and deliver data to our clients.
  • Ensure Data Quality: Ensure that data is accurate, complete, and consistent across all systems.
  • Stay Up-to-Date with Industry Trends: Stay up-to-date with the latest industry trends and technologies in data architecture and engineering.

Requirements:

  • 4+ Years of Experience: 4+ years of experience in data architecture and engineering, with a strong background in data modeling, data engineering, and data governance.
  • Technical Skills: Strong technical skills in data architecture and engineering, including data modeling, data engineering, and data governance.
  • Leadership Skills: Strong leadership skills, with the ability to lead and mentor data engineering teams.
  • Communication Skills: Excellent communication skills, with the ability to collaborate with stakeholders and communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience with Cloud Platforms: Experience with cloud platforms, including AWS, Azure, and Google Cloud.
  • Experience with Data Integration Tools: Experience with data integration tools, including ETL processes and data pipelines.
  • Experience with Data Governance: Experience with data governance, including data quality and data security.
  • Experience with Data Analytics: Experience with data analytics, including data visualization and business intelligence.