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.