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We are looking for a Senior Data Architect with deep expertise in AWS and Snowflake to join our dynamic team. The ideal candidate will be responsible for architecting and implementing 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 closely with cross-functional teams to develop and implement data strategies that align 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 (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.
Experience with
BI tools
(Tableau, PowerBI, etc.) and
data visualization .
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 ():-
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
We are looking for a Senior Data Architect with deep expertise in AWS and Snowflake to join our dynamic team. The ideal candidate will be responsible for architecting and implementing 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 closely with cross-functional teams to develop and implement data strategies that align 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 (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.
Experience with
BI tools
(Tableau, PowerBI, etc.) and
data visualization .
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 ():-
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