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- Lead the end-to-end architecture of cloud-native data warehouse solutions using Snowflake on AWS.
- Design data ingestion frameworks to source structured, semi-structured, and unstructured data from diverse internal and external systems.
- Architect and oversee efficient, resilient ELT pipelines using AWS services (e.g., S3, Glue, Lambda, Step Functions).
- Define data modeling strategies, schema optimization, and partitioning approaches within Snowflake to support high-performance workloads.
- Establish enterprise-wide standards for data integration, transformation, and metadata management.
- Implement robust data security, including IAM integrations, RBAC, encryption, masking, auditing, and compliance controls.
- Collaborate with engineering, analytics, and business teams to ensure architectural alignment and stakeholder satisfaction.
- Provide technical leadership on best practices, architectural governance, and tool selection.
- Develop and maintain comprehensive technical documentation, architecture diagrams, and operational models.
Required Qualifications:
- Minimum 15 years of experience in data architecture, systems design, and enterprise data platform development.
- Hands-on experience with Snowflake including query optimization, virtual warehouses, data sharing, and security integrations.
- Deep understanding of AWS services relevant to data architecture (e.g., S3, Glue, Lambda, Redshift, CloudWatch, IAM).
- Proven expertise in ELT/ETL architecture, data lake/data warehouse design, and data pipeline orchestration.
- Strong skills in SQL, data modeling, and performance tuning at scale.
- Experience implementing security, compliance, and governance frameworks (e.g., HIPAA, GDPR, SOC2).
- Excellent communication and collaboration skills with the ability to work across business and technical teams
Preferred Qualifications:
- SnowPro Advanced Architect or equivalent certification.
- Experience with tools such as dbt, Airflow, Informatica, or Matillion.
- Exposure to real-time data streaming, event-driven architectures, and DevOps/CI-CD pipelines.
- Background in regulated industries (e.g., finance, insurance, healthcare) is a strong plus.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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