Senior Data Engineering Manager - Conversational AI & Finance Control Tower
Pure Storage
Bangalore, IndiaonsitePosted 26 days ago
Skill Required
FinanceAI EngineerData EngineerEngineering ManagerEngineeringAIObservabilityWeb AccessibilitySalesforceSnowflakedesigningsimilar)buildingPythondesignRAGETLSQLSAPGenerative AI
Key highlights
- Required experience: 15+ years in data engineering, analytics, or related roles
- Work location: Primarily in-office at the Bangalore office
- Notable recognition: Named Fortune's Best Workplaces in Technology™ and Fortune's Best Workplaces in the Bay Area™; certified as a Great Place to Work®
- Notable benefit: Flexible time off, wellness resources, and company-sponsored team events
- Key requirement: Experience with Snowflake (or similar) and Python
- Role focus: Designing and building an AI-ready data infrastructure powering conversational AI and chatbot experiences for Finance
Role overview
The Data & Analytics team at Ever Pure is looking for a Senior Manager for designing and building an AI-ready data infrastructure powering conversational AI and chatbot experiences for Finance. This role will lead the end-to-end build, defining the target state, identifying capability gaps, and delivering a phased roadmap with measurable outcomes. A core focus is enabling a conversational, AI-driven Finance experience, allowing stakeholders to access insights through natural language and copilots.
Responsibilities
- Lead the design and build of the Finance Control Tower
- Establish a scalable, AI-ready data platform for reporting, analytics, and AI
- Deliver unified, trusted views across Finance (revenue, billing, forecasting)
- Define data architecture and unified models across systems (Salesforce, SAP, NetSuite, Zuora)
- Build a semantic / metrics layer to standardize business definitions
- Implement data management and observability (quality, lineage, reliability)
- Enable natural language access to Finance data via chatbots and copilots
- Build RAG-based architectures using structured and unstructured data
- Develop embeddings and semantic context layers for business-aware insights
- Leverage platforms like Snowflake Cortex (or similar) for search, summarization, and classification
- Build and scale data pipelines and AI-ready datasets in Snowflake (or similar)
- Integrate enterprise data sources (SFDC, NetSuite, Zuora)
- Enable LLM-driven use cases (forecasting, anomaly detection, variance analysis)
- Ensure outputs are accurate, explainable, and traceable
- Work from the Bangalore office in compliance with Everpure's policies, unless on PTO, work travel, or other approved leave
Requirements
- 15+ years in data engineering, analytics, or related roles
- Experience building modern data platforms / data products at scale
- Strong expertise in SQL, data modeling, ETL/ELT
- Strong expertise in semantic / metrics layer design
- Strong expertise in data governance, quality, and observability
- Experience with Snowflake (or similar) and Python
- Strong execution, stakeholder management, and communication skills
Nice to have
- Exposure to conversational AI / chatbot systems
- Exposure to RAG, embeddings, vector search
- Exposure to LLM frameworks and prompt design
- Understanding of Finance data (ARR, MRR, revenue) preferred
Benefits
- Innovation culture celebrating those who think critically, like a challenge, and aspire to be trailblazers
- Support to grow along with the company and contribute to something meaningful
- Named Fortune's Best Workplaces in Technology™
- Named Fortune's Best Workplaces in the Bay Area™
- Certified as a Great Place to Work®
- Team culture that builds each other up and sets aside ego for the greater good
- Flexible time off
- Wellness resources
- Company-sponsored team events
- Additional perks available at purebenefits.com
Additional details
- Company is in an unbelievably exciting area of tech and is fundamentally reshaping the data storage industry
- Leaders are expected to lead with innovative thinking, grow along with the company, and join the smartest team in the industry
- Work changes the world, which is what the tech industry was founded on
- Company description: The Data & Analytics team at Ever Pure
- Work location expectation: primarily in-office environment at the Bangalore office
- Job tag: #LI-ONSITE
- Accommodations and accessibility: Candidates with disabilities may request accommodations for all aspects of the hiring process; contact TA-Ops@purestorage.com if invited to an interview
- Company is committed to fostering the growth and development of every person
- Company cultivates a sense of community through Employee Resource Groups and advocates for inclusive leadership
- Everpure is proud to be an equal opportunity employer
- Everpure does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire