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Senior, niche data-architect in Bangalore at a lesser-known PE-backed firm reduces applicant competition.
Core data architecture skills transfer across industries, but healthcare domain experience is preferred.
Explicit 12–17 years, 8+ years data-architecture, and specific AWS/Spark stack enforce strict filtering.
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Design and define enterprise-level data architecture aligned with business and technology strategy, focusing on AWS cloud-native data platforms including data lakes, warehouses, and lakehouse architectures.
Lead architectural design and optimization of batch and real-time data pipelines using Apache Spark and related frameworks, ensuring data quality, governance, security, and compliance.
Mentor senior data engineers, provide architectural guidance, evaluate tools for data stack modernization, and support performance tuning and cost optimization of AWS data services.
12+ years overall IT experience, with 8+ years specifically in data architecture or big data roles.
Strong hands-on experience with Apache Spark (batch and streaming), Python for data processing and automation, and advanced SQL including performance tuning.
Extensive experience with AWS data stack: S3, Redshift, Glue, Athena, EMR, Kinesis/MSK, Lambda, Step Functions, IAM, CloudWatch, and security best practices.
Bachelor’s degree in computer information systems, computer science, or equivalent experience and education.
Experienced in designing large-scale, high-volume, and high-velocity data systems within AWS ecosystem.
Deep technical expertise to serve as a technology authority and solution visionary across multiple product modules.
Proven leadership in mentoring senior engineers and driving architectural decisions for data pipelines and platforms in complex environments.