Role: Senior Data Platform Engineer - R&D;
ai is a leading AI-powered B2B SaaS Customer Experience and Marketing Technology platform, helping 6,500+ brands across 20+ countries deliver personalized customer experiences at scale. Our engineering teams build highly scalable, cloud-native products that process billions of customer interactions every day.

You will evaluate, benchmark and prototype next-generation data platform technologies (open table formats, streaming systems, NoSQL and OLAP databases) for Netcore's high-scale omnichannel marketing platform. Design and run rigorous benchmarks and scalability studies across databases, storage engines, messaging and streaming systems
Prototype and stress-test recent architectures for high-throughput data ingestion, real-time analytics and large-scale personalization workloads
Compare technology options and give build-versus-buy recommendations backed by experimental data
Move successful prototypes into production-ready solutions together with platform and product engineering teams
Track emerging data infrastructure technologies and share actionable insights with engineering leadership

Strong programming in Java and Python (Go or Rust is a plus) for rapid prototyping.
Hands-on experience building data pipelines and data platforms at scale, using Kafka and Spark (or Flink).
Experience with two or more NoSQL or analytical databases (e.g., Cassandra, MongoDB, ClickHouse, Druid, Aerospike, BigQuery, Snowflake), including the trade-offs between them.
Strong data modeling skills: normalized vs. Strong SQL and query optimization: reading and tuning execution plans,



indexing and partitioning strategies, join and aggregation optimization, and diagnosing slow queries on both relational and analytical engines.
Strong data structures, algorithms and distributed systems fundamentals.
Experience benchmarking and profiling workloads to classify them as CPU-bound, memory-bound or I/O-bound, using tools such as perf, top/htop, vmstat, iostat, strace or flame graphs, and designing controlled experiments to interpret results.
Experience on AWS or GCP.

Benchmarking tools such as YCSB, Sysbench or HammerDB, and cloud-native observability stacks
Vector databases (e.g., Milvus, Pinecone, pgvector) and graph databases (Neo4j, TigerGraph)
Probabilistic data structures and compressed bitmaps (Apache DataSketches, Roaring Bitmaps)
Experience taking experimental prototypes into production

Bachelor's or Master's degree in Computer Science, Engineering or a related field
~4–10 years of experience in backend, data platform with demonstrated experience developing, evaluating or benchmarking large-scale systems

Build products used by 6,500+ global brands.
Work with cloud-native architectures, distributed systems, AI-powered development tools, and a high-performing engineering team.
The only Forrester-rated global vendor in Product Discovery, Cross Channel Marketing Hubs and Email.
Top 20 global Google Cloud Partner
Appraised at Level 3 of ISACA's CMMI® by Equalitas Certifications Limited
Agentic Marketing Platform: Co-Marketer
Explore our culture, and employee experiences
Watch/listen to our podcast of Netcore's leaders in conversation with industry experts

📌 Senior Data Platform Engineer - AWS (Bengaluru)
🏢 Netcore
📍 Bengaluru