Databricks Snowflake Power BI Solution Architecture

Infosys; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Infosys in Hyderabad seeks a senior Data Platform Architect to lead end-to-end analytics solutions using Snowflake, Databricks, and Power BI. You will translate business requirements into scalable data architectures and oversee reference architectures and best practices.

The role requires 12-14 years in data engineering and solution architecture, hands-on expertise in Snowflake and Databricks, and the ability to mentor teams and manage stakeholder expectations across projects.

Qualifications

• 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.

Responsibilities

• 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.
• Architect and oversee implementation of Snowflake data warehouse solutions, including schema design and cost governance.
• Design Databricks lakehouse patterns for ingestion, transformation, and scalable processing.
• Establish robust pipelines and data lifecycle practices to ensure reliability and observability.
• Drive performance tuning across compute, storage, and query execution for Snowflake and Databricks workloads.
• Define semantic layer and reporting architecture to enable consistent metrics and self-service analytics in Power BI.
• Guide dashboard/report development standards and partner with business teams for actionable insights.
• Own technical delivery planning, estimation, and risk management for complex initiatives.
• Collaborate with security and governance stakeholders on access controls and compliance-aligned designs.

Skills

Snowflake

Databricks

Power BI

Data architecture

Mentoring

Stakeholder management

Performance tuning

Education

Bachelor's degree

Master's degree

Tools

Snowflake

Databricks

Job description

Job Description:

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

Key Responsibilities:

• 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.