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Accion Labs - Senior Data Architect - Generative AI
Accion Labs - Senior Data Architect - Generative AIACCION TECHNOLOGIES PRIVATE LIMITED • Hyderabad
Accion Labs - Senior Data Architect - Generative AI

Accion Labs - Senior Data Architect - Generative AI

ACCION TECHNOLOGIES PRIVATE LIMITED • Hyderabad
30+ days ago
Job description

Job Title : Senior Data Architect - GenAI, Snowflake & Azure

Experience : 10+ Years

Job Type : Full-time based

Location : Bengaluru, Pune, Hyderabad, Mumbai

Work Model : Hybrid

About the Role :

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.

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.

Key Responsibilities :

  • Work closely with business and technical stakeholders to identify, design, and implement GenAI and analytics-driven solutions aligned with business goals.
  • Architect and develop GenAI-infused pipelines, LLM-based chatbots, and RAG (Retrieval-Augmented Generation) solutions using Snowflake Cortex and other modern AI / ML tools.
  • Leverage Snowflakes native ML / Cortex capabilities to enable advanced use cases.
  • Design scalable data architectures using Azure data services, ensuring alignment with governance and security standards.
  • Build and maintain end-to-end data pipelines using Python, SQL, and modern cloud-native tools.
  • Respond to and support ad-hoc analytical requests, working with Power BI and other tools to create dashboards or reports as needed.
  • Serve as a technical thought leader and advisor on AI / ML adoption and data strategy.
  • Guide and collaborate with cross-functional teams including data engineers, analysts, and domain experts.

Required Skills and Experience Expertise :

  • 10+ years of overall experience in data architecture, engineering, or analytics roles.
  • 3+ years hands-on experience with Snowflake, including use of Cortex, UDFs, Streams, Tasks, and data modeling.
  • 3+ years experience in Python for data workflows, ML, or integration.
  • 3+ years experience working on Azure Cloud (Data Factory, Synapse, Azure ML, Blob Storage, etc.).
  • Expertise in advanced SQL performance tuning, complex joins, window functions, and modeling.
  • Experience with GenAI / LLMs / AI / ML frameworks, including RAG architecture, prompt engineering, or using OpenAI / Azure OpenAI, LangChain, etc.
  • 2+ years experience with Power BI (optional but preferred) building data visualizations and reporting solutions.
  • Soft Skills :

  • Strong customer-facing orientation able to engage, understand needs, and articulate solutions effectively.
  • Excellent communication skills both technical and business-level.
  • Demonstrated business acumen and ability to align technical work with organizational strategy (nice to have).
  • Ability to manage multiple priorities, deliver under tight deadlines, and operate with minimal supervision.
  • Preferred Qualifications :

  • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.
  • Exposure to MLOps, DevOps, data governance frameworks, and cloud security best practices.
  • Experience in enterprise environments, especially in BFSI, Retail, or Healthcare domains.
  • Familiarity with tools like Git, Jira, CI / CD pipelines, or containerization (Docker, Kubernetes) is a plus.
  • Why This Role ?

  • Opportunity to work at the intersection of cutting-edge AI and enterprise data strategy.
  • Influence strategic technical decisions and deliver impactful GenAI solutions.
  • Be part of business-critical initiatives, engaging directly with CxOs, product leaders, and engineering teams.
  • Flexibility in work model and location across Bengaluru, Pune, Hyderabad, and Mumbai.
  • (ref : hirist.tech)

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