Description

Design and evolve enterprise-wide data strategies and architectures to support large-scale transformation objectives.

Responsibilities

• Develop and evolve the enterprise-wide data strategy to support transformation goals.
• Establish guidelines, controls, and processes for scalable data-driven analytics solutions.
• Build frameworks ensuring data integrity across ERP, CRM, BI, and data warehouse systems.
• Maintain data architecture artefacts including Entity Relationship Models, data dictionaries, and taxonomies.
• Collaborate with internal departments to define the strategic data architecture vision and roadmap.

Required Skills

• 10+ years of experience in Data Architecture and Data Engineering.
• 5+ years architecting data solutions across hybrid cloud and on-premise platforms (AWS, CRM, ERP, BI).
• Expertise designing data platforms including warehouses, lake houses, and integrated data stores.
• Experience with data cloud solutions such as Common Data Model, Microsoft Azure Data Lake, Data Factory, or Databricks.
• Experience architecting ETL processes using Amazon Glue, EMR, Azure Data Factory, or Data Lake.
• Proficiency in SQL, Python, Java, Bash, Presto, Spark, and AWS.
• Knowledge of DataOps, DevSecOps, and data security requirements including PHI and PII.
• Familiarity with data privacy regulations such as CCPA and GDPR.
• Certified Data Management Professional (CDMDP) or equivalent certification.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or equivalent.

Key Skills

Education

Any Graduate