8 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture, design, and delivery of large-scale data platforms, pipelines, and products.
- Translate ambiguous business and operational problems into data solutions, technical roadmaps, milestones, and measurable outcomes.
- Build and optimize batch and streaming pipelines using ETL/ELT, API, event-driven, and distributed-processing patterns.
- Design relational, dimensional, NoSQL, data lake, and warehouse data models.
- Establish ingestion strategies, data-quality checks, service-level objectives, lineage, and reconciliation controls.
- Provide technical direction through architecture reviews, design sessions, code reviews, proof-of-concepts, and production-readiness assessments.
- Develop and review production-quality code using SQL, Python, Java, or equivalent languages.
- Improve reliability through observability, capacity planning, performance tuning, incident prevention, root-cause analysis, and automated remediation.
- Partner with security, privacy, legal, governance, infrastructure, and product teams on ethical and compliant data handling.
- Define engineering standards for data modeling, metadata, documentation, reusable frameworks, scalability, security, and cost efficiency.
- Mentor engineers and influence teams without relying on direct authority.
- Evaluate emerging technologies and AI-enabled engineering capabilities through evidence-based experimentation.
- Communicate architecture, trade-offs, delivery risks, and business impact to technical and non-technical stakeholders.
Requirements
- 10+ years of professional experience in data engineering, software engineering, data platforms, or a related field, including technically complex cross-team leadership.
- Advanced SQL proficiency and proficiency in at least one general-purpose language such as Python or Java.
- Deep experience with distributed data systems, batch processing, streaming ingestion, APIs, event-driven architectures, and large-scale transformations.
- Strong knowledge of cloud data ecosystems such as Google Cloud Platform, Microsoft Azure, or AWS, and platforms such as BigQuery, Snowflake, Databricks, Spark, Presto, or Trino.
- Experience with relational, dimensional, semi-structured, and NoSQL data models, including partitioning, indexing, schema evolution, and data-access patterns.
- Hands-on experience with orchestration, infrastructure automation, source control, automated testing, and production observability.
- Expertise in data quality, metadata, lineage, governance, privacy, security, retention, and regulatory compliance.
- Ability to compare technical options, articulate trade-offs, and connect engineering decisions to business outcomes and total cost of ownership.
- Demonstrated ability to troubleshoot complex production issues and improve reliability, availability, performance, and operability.
- Excellent written and verbal communication skills and the ability to influence cross-functional stakeholders.
- Proven mentoring and technical leadership skills.
- Experience in Agile or product-oriented engineering environments.
- One minimum-qualification path requires a bachelor's degree in Computer Science and 4 years of software-engineering or related experience; another requires 6 years of such experience; another requires a master's degree in Computer Science and 2 years of such experience, with 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
Benefits
- Performance-based incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits.
- Role is based in the Bangalore or Chennai office for daily work, with flexibility for associates to manage their personal lives.
Tech Stack
Categories
Data Engineering
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.