The Value Maximizer
We are looking for a Senior Data Architect with deep expertise in AWS and Snowflake to join our dynamic team. The ideal candidate will architect and implement scalable, secure, and high-performance cloud-based data platforms. This role involves designing and optimizing data pipelines, managing cloud data environments, and driving data modernization initiatives. You will work with cross-functional teams to develop and implement data strategies aligned with business goals.
Key Responsibilities
Lead the architecture and design of scalable and secure data platforms using AWS and Snowflake
Design, develop, and optimize robust data pipelines for ingestion, processing, and storage of large-scale datasets
Implement best practices for data governance, data security, and compliance within cloud environments
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
Lead data modernization and cloud migration initiatives, ensuring seamless transitions from legacy systems to cloud platforms
Develop and manage data models and ensure proper integration with business intelligence tools
Monitor and optimize the performance of data platforms and ensure high availability and reliability
Provide technical leadership to data engineering teams, including code reviews and design consultations
Stay updated with the latest AWS and Snowflake features and leverage them to improve existing architectures
Troubleshoot and resolve complex data platform issues
Required Qualifications
12+ years of experience in data architecture, data engineering, or a related role
Hands-on experience with AWS services (S3, Redshift, Glue, Lambda, etc.) and Snowflake data warehouse
Proficiency in SQL and at least one programming language (Python, Java, etc.)
Strong experience with ETL/ELT processes, data integration, and data warehousing best practices
Familiarity with data governance, security standards, and compliance requirements in cloud environments
Proven track record of leading cloud data migration projects, preferably from on-premise to AWS and Snowflake
Strong problem-solving skills and the ability to work in a fast-paced environment
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Certifications (Preferred)
AWS Certified Data Analytics Specialty
AWS Certified Database Specialty
AWS Certified Developer Associate
AWS Certified Solution Architect Professional
SnowPro Core Certification
SnowPro Advanced: Architect Certification
SnowPro Advanced: Data Engineer Certification
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
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Key Responsibilities
Lead the architecture and design of scalable and secure data platforms using AWS and Snowflake
Design, develop, and optimize robust data pipelines for ingestion, processing, and storage of large-scale datasets
Implement best practices for data governance, data security, and compliance within cloud environments
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
Lead data modernization and cloud migration initiatives, ensuring seamless transitions from legacy systems to cloud platforms
Develop and manage data models and ensure proper integration with business intelligence tools
Monitor and optimize the performance of data platforms and ensure high availability and reliability
Provide technical leadership to data engineering teams, including code reviews and design consultations
Stay updated with the latest AWS and Snowflake features and leverage them to improve existing architectures
Troubleshoot and resolve complex data platform issues
Required Qualifications
12+ years of experience in data architecture, data engineering, or a related role
Hands-on experience with AWS services (S3, Redshift, Glue, Lambda, etc.) and Snowflake data warehouse
Proficiency in SQL and at least one programming language (Python, Java, etc.)
Strong experience with ETL/ELT processes, data integration, and data warehousing best practices
Familiarity with data governance, security standards, and compliance requirements in cloud environments
Proven track record of leading cloud data migration projects, preferably from on-premise to AWS and Snowflake
Strong problem-solving skills and the ability to work in a fast-paced environment
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Certifications (Preferred)
AWS Certified Data Analytics Specialty
AWS Certified Database Specialty
AWS Certified Developer Associate
AWS Certified Solution Architect Professional
SnowPro Core Certification
SnowPro Advanced: Architect Certification
SnowPro Advanced: Data Engineer Certification
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
#J-18808-Ljbffr