{"id":1279406,"url":"https://alion.io/job/adroit-innovative-solutions-senior-streaming-data-developer","title":"Senior Streaming Data Developer","company":{"id":3800695,"name":"Adroit Innovative Solutions","domain":"adroitinnovative.com","url":"https://alion.io/company/adroit-innovative-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_cell","sample_n":57},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Flink","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-24T12:04:25Z","employer_posted_date":null,"last_verified_at":"2026-08-24T12:04:25Z","board_verified":false,"closed_at":null,"days_open":37,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":37},"description":"Role Summary : \n\nThe Senior Streaming Data Developer / Confluent Lead is responsible for designing, developing, governing, and supporting enterprise-scale event streaming and real-time data processing solutions using the Confluent Platform and Apache Kafka ecosystem.\n\nThis role combines deep hands-on engineering expertise with architectural leadership to deliver scalable, secure, resilient, and high-performing streaming data solutions.\n\nThe candidate will work closely with enterprise architects, platform teams, business stakeholders, and delivery partners to drive adoption of event-driven and real-time streaming architectures across the organization.\n\nThe ideal candidate should possess strong practical experience with Confluent Managed Services, Apache Flink, SQL-based stream processing, and Kafka ecosystem tooling, while also being capable of guiding enterprise-level streaming strategy and implementation standards.\n\nExperience Required : \n\n812 years of overall IT experience with at least 6+ years of hands-on experience in : \n\n- Confluent Platform / Apache Kafka\n\n- Real-time event streaming solutions\n\n- Streaming data engineering and processing\n\n- Strong hands-on experience with Confluent Cloud / Confluent Managed Services\n\n- Proven experience designing and implementing enterprise-scale event-driven architectures\n\n- Strong practical experience with Apache Flink for stateful stream processing, event enrichment, event generation, windowing, and real-time analytics\n\n- Strong SQL expertise (mandatory), particularly for Flink SQL and streaming transformations\n\n- Experience migrating or modernizing streaming solutions from KSQL/ksqlDB to Flink-based implementations\n\n- Experience working within large, complex enterprise integration and data ecosystems\n\n- Experience working with managed connectors and custom connector development\n\nKey Responsibilities : \n\n1. Streaming Architecture & Platform Leadership : \n\n- Define and govern target-state architecture for Kafka and Confluent-based event streaming platforms\n\n- Provide technical leadership for enterprise streaming initiatives and real-time data integration programs\n\n- Validate solution direction and provide strategic guidance to business and technology stakeholders\n\n- Support client teams in defining scalable and maintainable streaming data patterns\n\n2. Hands-on Development & Engineering : \n\n- Develop and support Kafka producers, consumers, Kafka Connect integrations, and Flink streaming applications\n\n- Design and implement real-time data transformation and enrichment pipelines using Flink and SQL\n\n- Build and customize Kafka connectors where managed connectors do not meet business requirements\n\n- Provide hands-on troubleshooting, performance tuning, and optimization for Kafka and Flink workloads\n\n- Support migration and transformation approaches from KSQL/ksqlDB to Apache Flink\n\n3. Data Governance & Streaming Standards : \n\n- Establish and govern topic design, naming conventions, schema governance, event lifecycle, and data contracts\n\n- Define and manage append vs upsert topic strategies, Avro/JSON schema registry, and compatibility rules\n\n- Ensure streaming data solutions align with enterprise architecture, security, and governance standards\n\n4. Platform Reliability & Operations : \n\n- Provide guidance on high availability, disaster recovery, scalability, and resiliency\n\n- Support Confluent Managed Services operations and platform governance\n\n- Collaborate with cloud, DevOps, data engineering, and integration teams for consistent platform adoption\n\nRequired Skills & Technical Expertise : \n\nCore Streaming Technologies : \n\n- Confluent Platform / Confluent Cloud, Apache Kafka, Apache Flink, Kafka Connect, Schema Registry, REST Proxy, ksqlDB\n\nKafka & Streaming Concepts : \n\n- Producers/Consumers, Partitions/Replication, Consumer Groups, Offset Management, Topic Compaction, Exactly-once processing, Event-driven architecture\n\nFlink & Stream Processing : \n\n- Flink SQL, Stateful stream processing, Stream joins, Windowing, Event-time processing\n\nData & Schema Management : \n\n- SQL expertise, Avro/JSON schemas, Schema evolution, CDC patterns\n\nCloud & Platform Engineering : \n\n- Kafka in cloud/Kubernetes, CI/CD, Infrastructure-as-Code, performance tuning\n\nSoft Skills : \n\n- Strong stakeholder communication, documentation, and governance capabilities\n\nPreferred Experience : \n\n- Multi-region Kafka deployments, enterprise data/AI platform integration, regulated environments, CDC, certifications\n\nSkills\nConfluence, Confluent Kafka, Data Engineering, Streaming API, Streaming Protocols, Apache Flink, SQL, Data Governance, KQL","description_format":"text","description_chars":4631,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.594,"p_room":0.55,"age_days":37,"expected_fill_days":30,"reasons":["seen:37","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/adroit-innovative-solutions-senior-streaming-data-developer","json_url":"https://alion.io/job/adroit-innovative-solutions-senior-streaming-data-developer.json","meta":{"generated_at":"2026-10-01T11:06:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2549,"day_limit":5000,"remaining_today":2451,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}