Databricks, Snowflake, Power BI, Solution Architecture

Job Description:

• 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

Key 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

Preferred Skills:

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