Required Skills: Snowflake, Cloud-based enterprise data platforms, Lakehouse architecture, Medallion architecture, Enterprise data architecture, Data platform strategy, Platform standards and governance, Data Engineering, ETL, ELT, DBT, Fivetran, Data modeling, Metadata management, Data integration, Enterprise Integration, API-led integration, Event-driven architecture, Batch processing, Enterprise data integration patterns

Job Description

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field required.
• Master’s degree in Computer Science, Information Management, or Business/Technology discipline preferred.
• 10+ years of experience in data architecture, data engineering, or enterprise data platforms.
• 5+ years in a senior/lead architect role driving platform strategy, standards, and governance at enterprise scale.
• Proven expertise designing and operating cloud-based data platforms (Snowflake or similar), including Lakehouse/medallion architectures.
• Hands-on experience with ELT/ETL tools, data modeling, and metadata management (dbt, Fivetran, orcomparable).
• Strong background in enterprise integration (API-led, event-driven, or batch patterns).
• Demonstrated success enabling self-service BI and analytics platforms with governed semantic layers.
• Exposure to machine learning/AI platforms and MLOps// practices for operationalizing models.
• Track record of partnering with business leaders to align data platforms with strategic business needs(growth, efficiency, compliance, innovation).
• Excellent leadership, communication, and stakeholder management skills; experience influencing technical and executive audiences.