Senior FDE (Resident Solution Architect) – Databricks Lakehouse
Number of Positions: 20
Salary Budget: ₹22 Lakhs – ₹28 Lakhs per annum
Location: Remote
Experience: 7+ Years in Data Engineering | 10+ Years in Consulting with Databricks Lakehouse
Role Overview
We are seeking an experienced Senior FDE (Resident Solution Architect) to lead enterprise data engineering and analytics initiatives using the Databricks Lakehouse Platform.
The ideal candidate will possess deep expertise in designing scalable data solutions, architecting cloud-native platforms, and delivering high-performance distributed data processing systems.
As a Resident Solution Architect, you will work closely with customers to define technical strategy, provide architectural guidance, optimize data platforms, and ensure successful delivery of enterprise-scale data modernization programs.
Key Responsibilities
- Design and implement scalable, secure, and high-performance data engineering solutions on the Databricks Lakehouse Platform.
- Lead end-to-end architecture, design, and implementation of enterprise data platforms.
- Provide technical leadership and architectural guidance to customer and internal engineering teams.
- Develop and optimize distributed data processing pipelines using Apache Spark.
- Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions.
- Drive cloud-native data platform implementations across AWS, Azure, or GCP.
- Implement CI/CD pipelines and DevOps best practices for production deployments.
- Apply performance tuning and scalability optimization techniques to improve platform efficiency.
- Work closely with Data Scientists and ML teams to support MLOps implementation where required.
- Stay current with Databricks platform capabilities and recommend best practices for enterprise adoption.
Required Qualifications
- 7+ years of experience in Data Engineering, Data Platforms, and Analytics.
- 10+ years of overall consulting experience.
- Databricks Data Engineering Professional Certification is mandatory.
- Completion of required Databricks training and certification courses.
- Proven experience delivering 6–8+ Databricks implementation projects with hands-on development responsibilities.
- Strong expertise in distributed computing using Apache Spark, including Spark architecture and runtime internals.
- Hands-on experience with Databricks platform features and ecosystem.
- Strong understanding of CI/CD practices for production-grade deployments.
- Working knowledge of MLOps concepts and implementation.
- Experience in performance tuning and scalability optimization of large-scale data workloads.
Cloud Expertise
Strong working knowledge of at least two major cloud platforms:
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
Deep implementation expertise in at least one cloud platform is required.
Preferred Skills
- Enterprise Solution Architecture
- Data Lakehouse Architecture
- Cloud-Native Data Platform Design
- Performance Optimization
- Data Pipeline Modernization
- Stakeholder Management
- Technical Consulting and Customer Engagement
Why Join Us?
- Work on large-scale enterprise data modernization initiatives.
- Collaborate with industry-leading architects and engineering teams.
- Drive innovation using the latest Databricks and cloud technologies.
- Influence strategic technology decisions for global customers.
How to Apply
Interested candidates with relevant Databricks, Apache Spark, Cloud, and Solution Architecture experience are encouraged to apply.
Please mention your total experience, Databricks experience, Databricks certification status, cloud expertise, and notice period while applying.
drop cv at 9412858585
Pay: ₹2,200,000.00 - ₹2,800,000.00 per year
Work Location: Remote
