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Chief Enterprise Data Architect

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Job Overview

The role of Senior Data Engineer is pivotal in driving the design, development, and optimization of enterprise data infrastructure on Snowflake. This position leads complex data integration projects from CRM (Salesforce), ERP systems (Oracle), and other enterprise sources.

This role plays a critical part in shaping our data platform, ensuring scalability, performance, and compliance to support advanced analytics and AI initiatives.

Key Responsibilities:

  • Architecting, developing, and optimizing highly scalable, reliable, and secure data pipelines and workflows on Snowflake.
  • Leading and overseeing the integration of data from CRM (Salesforce), ERP platforms, and other third-party systems into the enterprise data warehouse.
  • Defining best practices for data modelling, data quality, security, and operational efficiency.

Candidates must possess a strong understanding of data governance, metadata management, and data cataloguing solutions, as well as certifications in Snowflake, Salesforce Data Architecture, or Cloud Architect certifications (AWS, Azure, GCP).

Additionally, expertise in real-time data ingestion tools (Kafka, Kinesis, Pub/Sub) and knowledge of Data Lakehouse architecture and experience with Delta Lake, Apache Iceberg, or similar technologies are desired.

Desired Skills and Qualifications:

  • Strong understanding of data governance, metadata management, and data cataloguing solutions.
  • Certifications in Snowflake, Salesforce Data Architecture, or Cloud Architect certifications (AWS, Azure, GCP).
  • Expertise in real-time data ingestion tools (Kafka, Kinesis, Pub/Sub).
  • Knowledge of Data Lakehouse architecture and experience with Delta Lake, Apache Iceberg, or similar technologies.