Manager, Data Engineering, Selling Partner Insights and Analytics [Data Engineering Manager III - SPIA / Paragon Platform]

Amazon Dev Center India (ADCI) is seeking a highly strategic, technically accomplished Manager, Data Engineering, Selling Partner Insights and Analytics to direct our core business infrastructure division in Bengaluru, Karnataka . Operating at the global center of the Paragon platform—the case management engine for seller support, compliance investigations, and advertising operations—this Data Engineering Manager III tier positions owns the technical roadmap, migration strategies, and team management required to transform terabytes of multi-tenant case data into real-time operational analytics .

Key Responsibilities & Scope of Work

• Multi-Tenant Infrastructure Leadership: Lead an elite team of data engineers to manage, optimize, and scale a multi-tenant cloud architecture supporting over 200 distinct business groups .
• Cloud-Native Migration Strategy: Spearhead the large-scale architectural migration of legacy data pipelines (including Andes frameworks) over to modern AWS Lake Formation environments without disrupting downstream consumers .
• High-Throughput Pipeline Governance: Oversee end-to-end data pipelines running processing volumes of billions of weekly operational logs, securing 99.99% system availability metrics .
• Low-Latency Query Optimization: Balance data freshness and storage design to deliver sub-second query latency thresholds for complex executive dashboards and analytics loops .
• Data Protection & Security Engineering: Enforce rigid data security controls, multi-tenant database isolations, schema evolutions, and rigorous AWS KMS enterprise encryption protocols .
• Talent Management & Coaching: Drive headcount recruiting loops, construct engineering evaluation card parameters, and mentor technical talent to promote an internal culture of operational excellence .

Required Qualifications & Technical Stack

• Data Engineering Foundation: Minimum of 5 years of verified, non-internship professional history explicitly spent designing, operating, and delivering big-data architectures .
• Massively Parallel Processing (MPP): 3 or more years of hands-on experience leveraging highly parallel technologies (such as Redshift, Spark, Hadoop, Teradata, or Netezza) .
• Relational Database Command: 3+ years spent querying, schema mapping, and performance tuning inside relational engines like Redshift, Oracle, MySQL, or MS SQL .
• Programming & Scripting Polyglot: Practical coding fluency using at least one modern language including Python, Java, Scala, or NodeJS .
• Management & Leadership Track: Proven industrial record hiring, developing, and promoting engineering talent, while defining the long-term BI/Data business roadmap of an organization .
• Preferred Value-Adds: Master's degree in Computer Science or Statistics, coupled with battle scars scaling data platforms through massive order-of-magnitude growth over AWS components (S3, EC2, Redshift) .
• Core Soft Skills: Elite verbal and written executive-level storytelling habits, deep analytical capability to resolve structural ambiguity, and a relentless focus on customer trust .