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.
- Solid 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.

📌 Databricks, Snowflake, Power BI, Solution Architecture (Hyderabad)
🏢 Infosys
📍 Hyderabad