Databricks, Snowflake, Power BI, Solution Architecture

Technology->Cloud Platform->Power Platform->Power BI Technology->Data Engineering->Databricks Technology->Data on Cloud-DataStore->Snowflake

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. 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.