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Senior Data Architect

Accenture

Cognizant

Amazon

Capgemini

<div>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.</div><div><br></div><div><strong style="color: rgb(206, 90, 26);"><u>Key Responsibilities:</u></strong></div><ul><li>Lead the architecture and design of scalable and secure data platforms using AWS and Snowflake.</li><li>Design, develop, and optimize robust data pipelines for ingestion, processing, and storage of large-scale datasets.</li><li>Implement best practices for data governance, data security, and compliance within cloud environments.</li><li>Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.</li><li>Lead data modernization and cloud migration initiatives, ensuring seamless transitions from legacy systems to cloud platforms.</li><li>Develop and manage data models and ensure proper integration with business intelligence tools.</li><li>Monitor and optimize the performance of data platforms and ensure high availability and reliability.</li><li>Provide technical leadership to data engineering teams, including code reviews and design consultations.</li><li>Stay updated with the latest AWS and Snowflake features and leverage them to improve existing architectures.</li><li>Troubleshoot and resolve complex data platform issues.</li></ul><div><br></div><div><strong style="color: rgb(206, 90, 26);"><u>Required Qualifications:</u></strong></div><ul><li>12+ years of experience in data architecture, data engineering, or a related role.</li><li>Hands-on experience with <strong>AWS services</strong> (S3, Redshift, Glue, Lambda, etc.) and <strong>Snowflake</strong> data warehouse.</li><li>Proficiency in <strong>SQL</strong> and at least one programming language (Python, Java, etc.).</li><li>Strong experience with <strong>ETL/ELT processes</strong>, data integration, and data warehousing best practices.</li><li>Familiarity with <strong>data governance</strong>, <strong>security standards</strong>, and <strong>compliance requirements</strong> in cloud environments.</li><li>Proven track record of leading cloud data migration projects, preferably from on-premise to AWS and Snowflake.</li><li>Strong problem-solving skills and the ability to work in a fast-paced environment.</li><li>Excellent communication skills and the ability to work collaboratively with cross-functional teams.</li></ul><div><br></div><div><strong style="color: rgb(206, 90, 26);"><u>Certifications (Preferred):-</u></strong></div><ul><li>AWS Certified Data Analytics Specialty</li><li>AWS Certified Database Specialty</li><li>AWS Certified Developer Associate</li><li>AWS Certified Solution Architect Professional</li><li>SnowPro Core Certification</li><li>SnowPro Advanced: Architect Certification</li><li>SnowPro Advanced: Data Engineer Certification</li></ul><div><br></div>