{"id":3159853,"url":"https://alion.io/job/co-builder-senior-software-engineer-data-platform","title":"Senior Software Engineer - Data Platform","company":{"id":1633,"name":"Co-Builder","domain":"co-builder.com","url":"https://alion.io/company/co-builder","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache HTTP Server","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache Pulsar","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Delta Lake","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"ClickHouse","optional":true},{"name":"Druid","optional":true},{"name":"Feature Store","optional":true},{"name":"Presto","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-10-23T15:35:27Z","employer_posted_date":null,"last_verified_at":"2026-10-23T15:35:27Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a hands-on Staff Software Engineer to join our Data Platform team. In this role, you will design and build the core data platform that powers our enterprise product. You'll work on building scalable data ingestion pipelines, real-time and batch processing systems, and a robust data lake architecture capable of handling large volumes of customer data. This is an opportunity to solve challenging distributed systems problems and build a modern cloud-native data platform from the ground up.\n\nResponsibilities: \nDesign and build scalable data ingestion frameworks to collect data from databases, SaaS applications, APIs, and event streams.\nDevelop high-performance batch and real-time data pipelines capable of processing large-scale datasets.\nBuild and evolve our cloud-native data lake/lakehouse architecture.\nDesign reliable and fault-tolerant distributed systems for enterprise-scale workloads.\nBuild reusable connectors for enterprise source systems such as Salesforce, HubSpot, PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, and cloud storage platforms.\nOptimise data storage, partitioning, schema evolution, and query performance.\nCollaborate closely with product, AI/ML, and backend engineering teams to deliver scalable platform capabilities.\nImprove platform observability, monitoring, reliability, and operational excellence.\nMentor engineers, drive engineering best practices, and influence technical direction across teams.\n\nRequirements: \n8-12 years of software engineering experience with strong expertise in distributed systems and data platforms.\nStrong programming skills in Java, Scala, Go, or Python.\nExperience building large-scale data ingestion and processing platforms.\nHands-on experience with streaming technologies such as Apache Kafka, Apache Pulsar, or similar messaging systems.\nExperience building batch and streaming pipelines using Apache Spark, Apache Flink, Kafka Streams, or Apache Beam.\nStrong understanding of Change Data Capture (CDC) and data synchronisation techniques.\nExperience designing and operating modern data lake/lakehouse architectures using Apache Iceberg, Delta Lake, or Apache Hudi.\nStrong knowledge of distributed databases and storage systems.\nExperience with cloud platforms (AWS, Azure, or GCP) and Kubernetes-based deployments.\nDeep understanding of scalability, fault tolerance, distributed processing, and performance optimisation.\nComfortable working in a fast-paced startup environment with a high degree of ownership.\n\nNice To Have: \nExperience with Debezium or other CDC frameworks.\nExperience with Trino, Presto, ClickHouse, Pinot, or Druid.\nExperience integrating enterprise applications such as Salesforce, SAP, HubSpot, Marketo, or Workday.\nExperience building multi-tenant SaaS platforms.\nExposure to AI/ML data pipelines or feature stores.\nSkills\nbeam, cdc, delta lake, flink, go, hudi, iceberg, java, kafka, kubernetes, pulsar, python, scala, spark","description_format":"text","description_chars":2940,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Digital 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