Principal Solutions Architect

7 - 14 years

20 - 25 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Customer Architecture & Technical Leadership

    • Serve as the strategic technical advisor for enterprise customers adopting real-time streaming, CDC pipelines, AI-driven data automation, and multi-cloud integrations.
    • Architect complex end-to-end solutions leveraging streaming platforms, operational databases, cloud data warehouses/lakehouses, and agentic AI capabilities.
    • Conduct architecture deep dives, whiteboarding sessions, and POCs to accelerate customer adoption.
  • Design & Governance

    • Define reference architectures, design frameworks, deployment standards, and best practices for real-time data movement and AI-driven workflows.
    • Review solution designs created by regional architects and ensure alignment with technical and security standards.
  • Cross-Functional Collaboration

    • Partner closely with Product Management & Engineering to influence roadmap priorities based on enterprise customer needs.
    • Collaborate with Sales Engineering, Customer Success, and Professional Services to ensure seamless solution delivery across the customer lifecycle.
  • Thought Leadership & Evangelism

    • Represent the company as a technical authority in external forums, conferences, webinars, and enterprise workshops.
    • Produce architectural blueprints, best-practice guides, and technical whitepapers.
  • AI & Agentic Innovation

    • Drive adoption of agentic AI components across customer workflows: automated pipeline generation, data quality agents, anomaly detection, and autonomous remediation patterns.
    • Define scalable patterns for integrating LLMs, vector stores, and AI-driven decisioning into real-time streaming architectures.

Requirements

  • 20+ years of experience in Solution Architecture, Data Engineering, or Platform Engineering within enterprise-scale environments.
  • Deep expertise with real-time streaming platforms (e.g., Apache Kafka, Kafka Connect, Flink, Spark Streaming, CDC technologies).
  • Strong understanding of data modernization and integration patterns involving cloud warehouses/lakehouses (Snowflake, BigQuery, Redshift, Databricks, etc.).
  • Hands-on experience with microservices, APIs, event-driven architectures, and distributed systems.
  • Knowledge of LLMs, vector embeddings, AI inferencing workflows, or agent-orchestrated architectures is highly desirable.
  • Proven ability to lead technical conversations with C-level, enterprise architects, and engineering leaders.
  • Strong commanding verbal communication, technical writing, and whiteboarding skills.
  • Experience with real-time ingestion from enterprise sources like Oracle, SQL Server, MySQL, PostgreSQL, SAP, and mainframe environments.
  • Exposure to cloud-native architectures across AWS, Azure, and GCP.
  • Prior experience building or deploying agentic AI applications, AI copilots, or autonomous pipeline orchestration would be a plus
  • Ability to mentor junior architects and influence organizational technical direction.

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Striim Engineering Services

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