Job description
Role Summary
We are seeking a Solution Architect with expertise in Python and Java-based services, and advanced database/SQL and data pipeline performance optimization. This role will architect, design, and scale data-intensive, cloud-native platforms supporting analytics, operational systems, and AI/ML workloads. The ideal candidate combines deep system design skills, database knowledge, DevOps, and the ability to build end to end enterprise solutions in cloud environments.
Key Responsibilities
Cloud Architecture & Platform Design Own end-to-end cloud solution architecture for data-driven platforms Design scalable, fault-tolerant, cloud-native systems using Python and Java Define architectural standards for microservices, data access layers, and APIs Ensure solutions meet performance, security, cost, and compliance requirements Continuously monitor and incrementally evolve system performance, reliability Python Solution Architect and deploy Python services in “tandem” with ML Engineers: Data ingestion, transformation, and orchestration Analytics, reporting, and decisioning systems ML/AI pipelines and feature processing Python frameworks and tools such as: FastAPI / Flask Pandas, Py.
Spark, Dagster Java-Based Data Services Design and govern Java backend and data services, including: REST / gRPC APIs High-throughput data access services Streaming and event-driven services Work with technologies such as: Spring Boot / Spring Cloud Connection pooling, caching, and resilience patterns Database Architecture & SQL Optimization Design and optimize database architectures for both OLTP and OLAP workloads Deeply analyze and tune SQL queries: Query plans, indexes, partitions, joins, and materialized views Locking, concurrency, and transaction isolation Optimize performance across: Relational databases (Postgres, MySQL, SQL Server, Oracle) Cloud-native databases (Aurora, Cloud SQL, Azure SQL) Data warehouses (Snowflake, Big.
Query, Synapse) Lead efforts in: Schema design and normalization/denormalization tradeoffs Indexing strategies and partitioning Query refactoring and workload tuning Database cost and performance optimization Data & Streaming Platforms Architect solutions using: Data lakes and lakehouses (S3/ADLS/GCS, Delta, Iceberg, Hudi) Streaming platforms (Kafka, Flink, Spark Structured Streaming)