Staff Data Solutions Engineer

Accountabilities:

• • Design end-to-end data and AI solutions, translating architectural direction into detailed HLD and LLD specifications, data models, interfaces, transformation logic, error-handling strategies, SLAs, and observability requirements.
  • Establish and promote strong engineering standards covering software design, testing, CI/CD, code quality, documentation, monitoring, and operational readiness.
  • Design, build, and maintain scalable data pipelines, data products, integration layers, and distributed data solutions across the enterprise.
  • Integrate AI and machine learning capabilities into production-grade applications, including LLM-based solutions, retrieval-augmented generation (RAG), vector search, embeddings, AI agents, and unstructured data processing.
  • Evaluate technology options pragmatically, determining when to build, configure, adopt SaaS, or use low-code/no-code solutions while prioritizing scalability, reuse, cost effectiveness, and reduced technical debt.
  • Collaborate with architecture, cybersecurity, data governance, platform, and engineering teams to ensure solutions meet enterprise standards for security, resilience, compliance, performance, and maintainability.
  • Provide technical leadership and assurance across internal teams, engineering squads, and third-party partners, ensuring architectural alignment and sustainable ownership.
  • Define reliability, SLA, observability, supportability, and operational requirements for systems and services under your technical leadership.
  • Turn ambiguous business and technology challenges into practical solution options, prototypes, and implementation approaches, using AI tools to accelerate design and validation.
  • Mentor engineers, contribute to knowledge sharing, and help evolve engineering standards, communities, and best practices across the wider technology organization.

  Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related discipline.
  • 8+ years of hands-on experience designing, building, productionizing, and maintaining reliable and scalable data infrastructure and data products in complex environments.
  • Proven ability to create and communicate HLD and LLD artifacts, including architecture diagrams, data flows, component specifications, API contracts, data models, and operational runbooks.
  • Strong architectural and problem-solving skills, with the ability to translate high-level decisions into clear engineering specifications that development teams can implement independently.
  • Expert-level SQL skills and experience working with large-scale distributed data systems and across the full data lifecycle.
  • Strong software engineering expertise, including testing, CI/CD, code reviews, monitoring, alerting, documentation, and technical design reviews.
  • Professional development experience in an object-oriented programming language, with Python preferred; Scala, Java, or C# are also relevant.
  • Hands-on experience integrating AI/ML capabilities into production environments, including LLM APIs, RAG architectures, vector search, embeddings, or AI agents.
  • Strong understanding of modern engineering patterns such as event-driven architecture, microservices, pipeline orchestration, layered data architecture, and RAG.
  • Excellent collaboration, stakeholder management, communication, and technical influencing skills, with the ability to lead without direct people-management responsibility.
  • A proactive, adaptable, and continuous-learning mindset with a strong focus on engineering excellence.
  • Experience with AI/ML frameworks such as LangChain, LlamaIndex, Hugging Face, Weaviate, or similar tools is advantageous.
  • Familiarity with agentic frameworks such as CrewAI or AutoGen, as well as Spark, Hadoop, Hive, cloud platforms, infrastructure-as-code, and data governance tools such as Alation or Collibra, is desirable.

  Benefits:

  • Full-time position based in Pune, India.
  • Hybrid office/remote working model.
  • Opportunity to work on large-scale data, AI, and digital transformation initiatives.
  • Senior technical leadership role with significant influence across engineering and architecture teams.
  • Exposure to modern technologies including LLMs, RAG, AI agents, cloud data platforms, and distributed data systems.
  • Opportunity to mentor engineers and contribute to engineering standards and communities.
  • Relocation assistance available for eligible candidates within India.
  • Up to 10% travel may be required.
  • Inclusive and diverse working environment with support for reasonable workplace and recruitment accommodations.
  • Potential role-specific benefits and employment conditions may apply, including applicable background, medical, or other pre-employment checks.