Product Evangelist

This role is for one of Weekday's clientsSalary range: Rs Rs ie INR 20-80 LPA)Min Experience: 7 yearsLocation: ChennaiJobType: full-timeRequirementsWe are seeking a seasoned technologist who can bridge developer advocacy and Solution Architecture. In this hybrid role, you will both educate and empower developer communities while also advising enterprise customers on large-scale Data, AI, and Cloud transformations.You'll work hands-on with cutting-edge technologies ranging from Big Data platforms (Databricks, Snowflake, Hadoop, Kafka, MongoDB, etc.) to LLMs, AI/ML, and distributed systems, while representing our platform in communities, conferences, and strategic customer engagements.This role is ideal for someone who thrives in both community-facing developer advocacy and strategic solution architecture consulting, helping to build the future of data-driven applications.Key Responsibilities:Developer Advocacy & Community BuildingCreate authentic technical resources: open source demos, code samples, documentation, how-to guides, tutorials, and blogs.Build awareness and motivate developers to build applications, data pipelines, and data science workflows on our platform.Engage in communities like Stack Overflow, GitHub, Slack, Reddit, Discord to support developers and identify new resources.Deliver impactful talks at conferences, meetups, and events, showcasing solutions, best practices, and platform capabilities.Collaborate with product teams to communicate developer needs and influence roadmap.Define and own success metrics for developer engagement, content reach, and community growth.Solution Architecture & Customer Success  :Partner with enterprise customers as a trusted technical advisor, guiding their Data & AI transformation initiatives.Architect and implement scalable solutions across data engineering, data science, analytics, and ML/AI workflows.Lead customer workshops, proof-of-concepts, migrations, and complex delivery programs.Consult on cloud-native architectures, integrations, and data governance/security (Unity Catalog, RBAC).Advise customers on competitive landscapes (Snowflake, Databricks, EMR, Sagemaker, MongoDB Atlas, etc.).Collaborate with cross-functional teams: product engineering, marketing, customer success, and partner organizations.Mentor internal teams and customers on best practices, distributed computing, and modern data architectures.Required Skills:Must-Have:7–10+ years of experience in Developer Relations, Developer Advocacy, or Solution Architecture.Proven expertise in Big Data technologies (Apache Spark, Kafka, Data Lakes, Hadoop, Cassandra, Delta Lake, Trino).Strong coding experience in at least two of: Python, PySpark, Java, Scala, JavaScript, Go, Ruby, R, or C#.Hands-on experience with LLMs and AI/ML platforms (Langchain, LlamaIndex, HuggingFace, mistral, Pinecone, Weaviate, MLflow).Proficiency with data platforms and cloud ecosystems: Databricks Lakehouse, Snowflake, MongoDB, Postgres, NoSQL (MongoDB, Redis, HBase), and at least one of AWS, Azure, or GCP.Strong background in SQL, Spark SQL, Spark Streaming, distributed computing, and cloud-native architectures.Knowledge of MLOps, GenAI solutions, and scalable production deployments is a plus.Exceptional communication, technical writing, whiteboarding, and presentation skills.Experience working with cross-functional teams and in customer-facing roles.Willingness to travel (~30%) for conferences, events, and onsite customer engagements.Good-to-Have:Experience delivering LLM/GenAI solutions at scale (RAG, prompt engineering).Contributions to open source projects or active presence in developer communities.Databricks or Snowflake certifications.Experience founding, pitching, or advising startups.Strong storytelling ability in both written and spoken mediums (blogs, talks, videos, webinars).Eligibility / Qualifications:Education: Any Undergraduate (or) PostgraduateExperience: 7- 20 Years