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Tier-1 brand and remote posting increase applicant density despite senior niche specialization.
Deep Databricks, big data, and AI expertise required, making cross-industry transitions difficult.
Multiple explicit seniority and Databricks-specific technical requirements create highly strict shortlisting filters.
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Lead design and delivery of scalable big data and AI solutions for strategic customers using the Databricks platform.
Develop and share reference architectures, how-to guides, and robust automation tools that can be reused across multiple customers and sectors.
Manage multiple projects ensuring adherence to architectural best practices, risk mitigation, and fostering strong customer trust.
15+ years of experience with Big Data technologies including Apache Spark, Kafka, Cloud Native, and Data Lakes in customer-facing, architecture, or consulting roles.
6+ years of independent experience working on Big Data architectures.
2+ years of experience with AI implementations including RAG, MCP, Context engineering, etc.
Proficient in Python or Scala programming and experienced with Databricks ecosystem and cloud platforms (GCP, AWS, Azure).
Experienced in strategic advisory roles involving transformational big data initiatives and third-party migrations.
Strong engineering mindset with a focus on building innovative, sustainable AI-driven technical products for GenAI contexts.
Skilled in technical documentation, stakeholder management, and cross-team collaboration to drive product improvements and customer success.