<p><p></p><p><b>Job Title : </b> Senior Data Architect - GenAI, Snowflake & Azure</p><br/><p><b>Experience : </b> 10+ Years</p><br/>Job Type : Full-time based <br/><br/>Location : Bengaluru, Pune, Hyderabad, Mumbai<br/><br/>Work Model : Hybrid<p></p><br/><p><b>About the Role : </b></p><p><br/></p><p>We are seeking an experienced Senior Data Architect to join as a forward-deployed engineer within our clients data and AI engineering initiatives.
This role demands strong hands-on expertise in Snowflake, Azure, Python, and GenAI technologies, along with a proven ability to interface directly with business stakeholders.</p><br/><p>As a senior technical contributor, you will help shape data and GenAI strategies, drive the design and implementation of advanced AI/ML-infused data solutions, and support both structured project deliverables and ad-hoc analytics needs.</p><br/><p><b>Key Responsibilities : </b></p><p><br/></p><p>- Work closely with business and technical stakeholders to identify, design, and implement GenAI and analytics-driven solutions aligned with business goals.</p><br/>- Architect and develop GenAI-infused pipelines, LLM-based chatbots, and RAG (Retrieval-Augmented Generation) solutions using Snowflake Cortex and other modern AI/ML tools.<br/><br/>- Leverage Snowflakes native ML/Cortex capabilities to enable advanced use cases.<br/><br/>- Design scalable data architectures using Azure data services, ensuring alignment with governance and security standards.<br/><br/>- Build and maintain end-to-end data pipelines using Python, SQL, and modern cloud-native tools.<br/><br/>- Respond to and support ad-hoc analytical requests, working with Power BI and other tools to create dashboards or reports as needed.<br/><br/>- Serve as a technical thought leader and advisor on AI/ML adoption and data strategy.<br/><br/>- Guide and collaborate with cross-functional teams including data engineers, analysts, and domain experts.<p></p><br/><p><b>Required Skills and Experience Expertise :</b></p><p><br/></p><p>- 10+ years of overall experience in data architecture, engineering, or analytics roles.</p><br/>- 3+ years hands-on experience with Snowflake, including use of Cortex, UDFs, Streams, Tasks, and data modeling.<br/><br/>- 3+ years experience in Python for data workflows, ML, or integration.<br/><br/>- 3+ years experience working on Azure Cloud (Data Factory, Synapse, Azure ML, Blob Storage, etc.).<br/><br/>- Expertise in advanced SQL performance tuning, complex joins, window functions, and modeling.<br/><br/>- Experience with GenAI / LLMs / AI/ML frameworks, including RAG architecture, prompt engineering, or using OpenAI/Azure OpenAI, LangChain, etc.<br/><br/>- 2+ years experience with Power BI (optional but preferred) building data visualizations and reporting solutions.<p></p><br/><p><b>Soft Skills : </b></p><p><br/></p><p>- Strong customer-facing orientation able to engage, understand needs, and articulate solutions effectively.</p><br/>- Excellent communication skills both technical and business-level.<br/><br/>- Demonstrated business acumen and ability to align technical work with organizational strategy (nice to have).<br/><br/>- Ability to manage multiple priorities, deliver under tight deadlines, and operate with minimal supervision.<p></p><br/><p><b>Preferred Qualifications : </b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.</p><br/>- Exposure to MLOps, DevOps, data governance frameworks, and cloud security best practices.<br/><br/>- Experience in enterprise environments, especially in BFSI, Retail, or Healthcare domains.<br/><br/>- Familiarity with tools like Git, Jira, CI/CD pipelines, or containerization (Docker, Kubernetes) is a plus.<p></p><br/><p><b>Why This Role ?</b></p><br/>- Opportunity to work at the intersection of cutting-edge AI and enterprise data strategy.<br/><br/>- Influence strategic technical decisions and deliver impactful GenAI solutions.<br/><br/>- Be part of business-critical initiatives, engaging directly with CxOs, product leaders, and engineering teams.<br/><br/>- Flexibility in work model and location across Bengaluru, Pune, Hyderabad, and Mumbai.<br/><p></p><p></p><br/></p> (ref:hirist.tech)