Cloud Data Architect

Job Summary

We are seeking an experienced Data Architect with 10-14 years of industry experience, including at least 2+ years focused on enterprise data architecture design. You will be instrumental in architecting and implementing enterprise-scale Data platforms, encompassing data lakes, lakehouse, and real-time processing systems, predominantly within cloud environments (Azure, AWS, GCP). This role requires mandatory experience with Generative AI technologies and their seamless integration into enterprise solutions. The ideal candidate will demonstrate profound expertise in distributed data management, data modeling, data governance, and data security, coupled with strong proficiency in SQL, Spark/Scala, and a variety of ETL and data visualization tools.

• Key Skills: Enterprise Data Architecture, Data Lakes, Lakehouse, Real-time Processing, Cloud Data Solutions (Azure, AWS, GCP), Distributed Data Management, Data Modeling, DW/BI Systems, Data Governance, MDM, Data Quality, Data Cataloging, Metadata Management, Data Privacy (GDPR, CCPA).
• Mandatory: Generative AI technologies and integration.
• Technologies: SQL, Spark/Scala, AWS, Azure, GCP, Databricks, PostgreSQL, MySQL, MongoDB, Cassandra, Talend, Informatica, Apache NiFi, Tableau, Power BI, Snowflake, Cloudera, MPP systems.
• Certifications: TOGAF, OEM Architect, Cloud Certifications.

Job Description

Key Responsibilities

• Architecture Design

  • Minimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units.
  • Expertise in Designing and defining enterprise data architecture solutions including data lakes, lakehouse, and real-time processing systems.
  • Minimum 2+ years of experience in end-to-end cloud data solutions implementation (Azure, AWS, or GCP) as an Architect.
  • Experience in ensuring alignment of architectural design with industry best practices and organizational strategy.
  • Minimum 7+ years of experience in distributed data management and storage, covering relational databases, NoSQL systems, data analysis, processing, transformation, high availability, and scalability.

• Data Modeling and Integration

  • Minimum 4+ years of hands-on experience in data modeling techniques, DW and business intelligence systems.
  • Experience with data lakes, lakehouse, data warehouses, streaming platforms, NoSQL databases, and cloud environments.
  • Proven expertise in designing and implementing solutions on both on-premise and cloud infrastructure.
  • Strong proficiency in SQL, Spark/Scala, and data analytics.

• Data Governance and Security

  • Well-versed in key data domains including Data Governance and security, Master Data Management (MDM), Data Quality, Data Cataloging, and Metadata Management.
  • Experience in ensuring data compliance with global data privacy and protection regulations such as GDPR, CCPA, or equivalent.

• Generative AI Exposure

  • Mandatory experience with Generative AI technologies and projects, including integration into enterprise solutions.

• Collaboration and Stakeholder Engagement

  • Collaborate effectively with engineers, analysts, and IT teams to ensure architectural alignment with business needs.
  • Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders.

Requirements

Education

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• BE, BTech, MTech, MCA.

Experience

• 10+ years of industry experience, with at least 2+ years focused on enterprise data architecture design.
• Minimum 2 years as a Data Architect, with proven experience in designing enterprise data solutions.
• Demonstrated success in delivering end-to-end solutions in large-scale enterprise environments.
• Experience Range: 10 – 14 years.

Technical Expertise

• Proficiency in cloud platforms: AWS, Azure, GCP, Databricks.
• Expertise in both SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB, Cassandra.
• Hands-on experience with ETL tools: Talend, Informatica, Apache NiFi.
• Familiarity with data visualization tools: Tableau, Power BI.

Certifications

• TOGAF or equivalent enterprise architecture certification.
• OEM Architect Certifications.
• Cloud Certifications (Azure, AWS, GCP).

Additional Skills

• Experience with cloud data warehouses such as Snowflake.
• Exposure on platforms like Cloudera.
• Experience with Massively Parallel Processing (MPP) systems.