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Strong employer brand and metro location raise applicant density despite senior, specialized data-architect requirements.
Deep data architecture, Snowflake and cloud platform expertise mean high domain specificity across industries.
Explicit 12+ years requirement and specific Snowflake, AWS, Kafka, and data-platform skills make filters strict.
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Lead design and implementation of an enterprise-scale, next-generation digital data platform emphasizing real-time data movement and integration.
Define and enforce comprehensive data architecture strategy including governance, security, and compliance aligning with business goals.
Collaborate across teams to translate business requirements into scalable data solutions and oversee architecture for AI and advanced analytics innovation.
Bachelor's degree in Computer Science, Information Technology, or related field.
12+ years software development experience or minimum 3 years architecture experience with demonstrable expertise.
5+ years experience in data modeling, data warehousing, optimization, and data integration solutions.
Must work onsite full-time; experience with cloud platforms (AWS or Azure), Big Data, and security compliance frameworks required.
Experienced in architecting large-scale, cloud-based data platforms with strong skills in building data lakes and real-time data pipelines.
Demonstrated leadership on medium to large strategic projects with deep understanding of AI technologies including generative AI and advanced analytics.
Proficient in multiple programming and database technologies such as Python, SQL/NoSQL, Kafka, and AWS services, capable of driving end-to-end architecture from concept to deployment.