10 to 15 years of experience in data architecture, data engineering, or solution architecture roles
Design and architect end-to-end data warehouse and data management solutions on Databricks, Snowflake, AWS, and Azure
Lead solution architecture discussions with clients and translate business requirements into scalable technical designs
Define data architecture standards, frameworks, and best practices for data ingestion, transformation, storage, and consumption
Hands-on expertise with Databricks, Snowflake, Data Engineering and workflow orchestration tools, SQL, Python, Pyspark
Experience with Azure data services (Azure Synapse, Azure Data Factory, ADLS) and AWS data services (Redshift, Glue, S3, Lake Formation)
Proven track record in technology consulting — client-facing, project delivery, and stakeholder management
Knowledge of GenAI tools and technology, Databricks Genie,



Snowflake Cortex and preferably working experience in Projects/Pilots
Experience in working with teams for enabling Business intelligence, AI/ML, GenAI initiatives
Familiarity with data modeling techniques (dimensional, data vault, star/snowflake schema)
Experience in building Solution accelerators for data engineering and data management
Expertise in RFP due diligence, solution architecture, estimation, proposal preparation and presentation
Experience with Data & Analytics implementation in Pharma Industry is preferred.
Strong communication and presentation skills — ability to present complex technical concepts, lead workshops and architecture design sessions
Consulting mindset — explicit problem definition, structured problem-solving, client-focused, delivery-oriented

📌 Senior Manager (Gurugram)
🏢 Axtria - Ingenious Insights
📍 Gurugram