Job Description
Location: Pune (Office-based / Hybrid)
Role & Experience with Band:
- Senior Data & Analytics Engineer- Level II: 4-6 yrs
- Data & Analytics Architect- Level III: 7+ yrs
About the Role
We're looking for a Data & Analytics leader to shape enterprise-wide architecture across data platforms, analytics delivery, AI/ML, data security, and governance. You'll work at the intersection of architectural vision and hands-on design — guiding solutions from interim-state assessments to future-state roadmaps, while integrating advanced analytics and Generative AI into real business workflows.
This is a role for someone who thinks in systems, not just tools — someone who can define the architecture and also build the proof-of-concept that proves it works.
What You'll Do
- Design enterprise data and analytics architecture — best practices, patterns, and guiding principles for new solutions
- Integrate AI/ML models (TensorFlow, PyTorch, Scikit-learn) into existing data workflows across cloud environments
- Lead proof-of-concept initiatives and build future-state architecture roadmaps
- Own architectural artefacts, high-level designs, and deployment support for data, analytics, and GenAI solutions
- Architect across five pillars: data platforms, analytics delivery, data security, AI, and data governance
- Partner with business and solution architecture teams to ensure technology delivers real business outcomes
- Mentor cross-functional teams and communicate technical decisions to both technical and non-technical stakeholders
What You Bring
- Hands-on experience with Azure or AWS cloud architecture (multi-cloud is a plus)
- Strong experience with Databricks, Snowflake, or BigQuery
- Proficiency in Azure Data Factory or Informatica for data pipeline and integration
- Working knowledge of AI/ML frameworks — TensorFlow, PyTorch, Scikit-learn, MLflow
- Strong Python and SQL skills
- Solid grounding in data governance, security, and management principles
- A cloud architect certification (Azure Solutions Architect Expert or AWS Solutions Architect Professional) — required
- TOGAF, CDMP, or Google Professional Cloud Architect certification — a plus
- Experience in pharmaceutical, healthcare, or life sciences — a plus
Education
Bachelor's in Statistics, Computer Science, IT, or equivalent experience (Master's preferred)
Apply now to help shape the future of enterprise data and AI architecture
More Info
Key Skills
Generative AI
Scikit-learn
MLflow
AI/ML frameworks
About Company
