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Tier-1 brand and Mumbai metro increase applicant density, while senior niche Data Architect skills limit broad competition.
Core data architecture and platform skills are highly transferable across industries despite customer-growth domain focus.
Explicit 8+ years plus mandatory cloud, streaming, warehousing, modelling, and language expertise creates stringent filters.
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Design, build, and evolve scalable and reliable data architectures supporting real-time personalization, marketing automation, and customer analytics across Customer Growth portfolio.
Evaluate and decide on complex technical trade-offs in data platforms and frameworks, providing objective analysis to stakeholders.
Lead cross-functional collaboration, define global data engineering best practices, and mentor senior/mid-level engineers to elevate technical standards and innovation.
Bachelor’s degree or higher in Computer Science or related field.
8+ years experience designing and implementing distributed data processing systems using tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
Expertise in cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks.
Highly proficient in Python, Scala, or Java and expert-level SQL.
Experienced leader who can influence across multiple engineering squads without direct authority.
Deep knowledge of data modeling paradigms suited to complex customer behavioral data (Data Vault, Kimball, Star Schema).
Strategic thinker capable of balancing immediate business needs with long-term technical debt and innovation adoption.