Databricks, Snowflake, Power BI, Solution Architecture

Step into a leadership role where you’ll shape modern data platforms and turn complex business needs into scalable, high-performing analytics solutions. You’ll work at the intersection of cloud data warehousing, lakehouse engineering, and business intelligence—bringing together Databricks, Snowflake, and Power BI to deliver trusted insights and measurable impact. In this role, you’ll collaborate closely with stakeholders, data engineers, analysts, and platform teams to design end-to-end architectures that are secure, governed, and built for growth. If you enjoy guiding teams, setting technical direction, and building data ecosystems that empower decision-making, this is a great opportunity to lead with both strategy and hands-on expertise in a collaborative, outcome-driven environment. Responsibilities Key Responsibilities: Solution Architecture & Technical Leadership

• Lead end-to-end solution architecture for enterprise analytics platforms using Snowflake, Databricks, and Power BI.
• Translate business requirements into scalable data architecture, integration patterns, and analytics designs.
• Define reference architectures, design standards, and best practices for data modeling, performance, and governance.
• Provide technical leadership, mentoring, and design reviews to ensure high-quality delivery across teams. Data Platform Engineering (Snowflake & Databricks)
• Architect and oversee implementation of Snowflake data warehouse solutions, including schema design, workload optimization, and cost governance.
• Design Databricks lakehouse patterns for ingestion, transformation, and scalable processing aligned to enterprise needs.
• Establish robust pipelines and data lifecycle practices to ensure reliability, observability, and maintainability.
• Drive performance tuning across compute, storage, and query execution for both Snowflake and Databricks workloads. Analytics & BI Enablement (Power BI)
• Define semantic layer and reporting architecture to enable consistent, trusted metrics and self-service analytics in Power BI.
• Guide dashboard/report development standards, including performance optimization and user experience best practices.
• Partner with business teams to ensure insights are actionable and aligned to decision-making workflows. Delivery, Stakeholder Management & Governance
• Own technical delivery planning, estimation, and risk management for complex, multi-stream initiatives.
• Collaborate with security and governance stakeholders to implement access controls, data governance, and compliance-aligned designs.
• Communicate architecture decisions, trade-offs, and roadmap recommendations to technical and non-technical audiences. Minimum Qualifications:
• Bachelor’s or Master’s degree in Engineering/Computer Applications/Science (BTECH, MTECH, MCA, MSC) or equivalent.
• 12–14 years of overall experience in data engineering, analytics platforms, and solution architecture roles.
• Strong hands-on and architectural expertise in Snowflake and Databricks for enterprise-scale data solutions.
• Proven experience delivering Power BI reporting/semantic models and enabling business-facing analytics.
• Demonstrated ability to lead technical design discussions, mentor teams, and drive architecture governance. Technical requirements Technology->Cloud Platform->Power Platform->Power BI Technology->Data Engineering->Databricks Technology->Data on Cloud-DataStore->Snowflake Additional responsibilities Preferred Qualifications:
• Experience designing lakehouse + warehouse coexistence patterns and selecting the right approach per workload.
• Strong understanding of dimensional modeling, semantic modeling, and enterprise KPI standardization for BI adoption.
• Expertise in performance and cost optimization strategies for Snowflake and Databricks at scale.
• Experience establishing platform best practices for reliability, monitoring, and operational readiness across data pipelines and BI assets.
• Strong stakeholder management skills with a track record of influencing architecture decisions across business and engineering teams. Education MCA,MSc,MTech,Bachelor of Engineering,BTech