Data Architect

Flipkart; Bengaluru; On-site; INR 2,800,000 - 6,000,000; Full time

Job summary

Flipkart in Bengaluru, India seeks a hands-on data leader with 13-15 years of experience in data engineering/architecture to shape scalable data platforms. You will design and review architecture, own critical decisions, and drive excellence in reliability, security, and cost optimization.

You will lead cross-team initiatives, influence technical direction, and mentor engineers while delivering high-impact data solutions across streaming and batch processing in a cloud-native environment (AWS).

Qualifications

• Extensive experience in data architecture and leadership (13-15 years).
• Strong ability to design scalable data platforms and guide implementation.
• Proven experience with cloud data services and AWS.
• Hands-on leadership with ownership and cross-team influence.
• Proficient in Python/Java/Scala and SQL/NoSQL databases.

Skills

Architecture & system design

Data modeling & warehousing

Distributed data platforms

Python/Java/Scala

SQL & NoSQL databases

AWS & cloud data services

CI/CD & DevOps

Stakeholder management

Leadership & ownership

Tools

Spark

Kafka

Airflow

Databricks

Snowflake

BigQuery

Redshift

Delta Lake

Iceberg

dbt

Kubernetes

Terraform

Job description

Requirements:

• Strong architecture and system-design mindset with the ability to balance long-term strategy and immediate business needs.
• Ability to simplify complex data problems and design scalable, pragmatic solutions.
• Strong ownership and ability to influence technical decisions across teams.
• A hands‑on technology leader who can design, review, and guide implementation rather than working purely at a conceptual level.
• Strong focus on engineering excellence, reliability, security, and measurable business impact.
• 13-15 years of overall experience in data engineering, data architecture, or related areas, with significant experience in architecture and technical leadership.
• Strong experience designing large-scale, distributed data platforms and enterprise data architectures.
• Strong understanding of data modeling, data warehousing, data lakes, lakehouse architecture, and distributed data processing.
• Hands‑on experience with technologies such as Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, Redshift, or equivalent platforms.
• Strong programming experience in Python, Java, or Scala.
• Strong knowledge of SQL and database technologies, including relational and NoSQL databases.
• Experience with cloud platforms, preferably AWS, with a strong understanding of cloud-native data services.
• Experience designing real-time and batch data processing architectures.
• Strong understanding of microservices, APIs, distributed systems, and event‑driven architectures.
• Experience with data governance, security, quality, lineage, metadata, and compliance.
• Strong understanding of data architecture patterns and best practices for scalability, availability, performance, and cost optimization.
• Experience working with CI/CD, DevOps, infrastructure automation, and observability for data platforms.
• Excellent problem‑solving, communication, stakeholder management, and technical leadership skills.

Good to Have:

• Experience architecting data platforms for AI/ML and generative AI applications.
• Knowledge of vector databases, RAG architectures, knowledge graphs, and AI data platforms.
• Experience with Data Mesh, Data Fabric, or modern lakehouse architectures.
• Experience with technologies such as Delta Lake, Iceberg, dbt, Kubernetes, Terraform, or equivalent.
• Experience in building enterprise‑scale platforms in a high‑growth product/SaaS environment.
• Prior experience leading architecture initiatives across multiple engineering teams.