Resident Solution Architect

This role is for one of our clients
Seniority level: Mid-Senior level
Industry: Technology, Information and Internet
Min Experience: 9+ years
Location: Remote (India)
JobType: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We are looking for an experienced Resident Solutions Architect with strong expertise in Databricks, Apache Spark, Data Engineering and Cloud Data Platforms.
The RSA will work closely with enterprise customers to understand complex data and AI requirements, design scalable architectures, lead technical engagements and help customers successfully implement and productionize solutions on the Databricks platform.
The ideal candidate combines strong hands-on technical expertise with excellent customer-facing, consulting and communication skills.
Requirements
Key Responsibilities
Work directly with enterprise customers as a trusted technical advisor
Understand customer business and technical requirements and translate them into scalable data architectures
Design and implement modern Lakehouse / Data + AI architectures using Databricks
Develop and guide POCs, technical workshops and architecture demonstrations
Work extensively with Apache Spark / PySpark, SQL and Databricks
Design scalable data ingestion, transformation and processing pipelines
Work with Delta Lake, Unity Catalog and Databricks platform capabilities
Support data migration and modernization initiatives
Integrate Databricks with cloud platforms such as AWS, Azure or GCP
Troubleshoot performance, scalability, reliability and data pipeline issues
Work with customer engineering, data science, architecture and leadership teams
Provide technical recommendations around data engineering, analytics, ML/AI and cloud architecture
Create reference architectures, technical documentation and implementation guidance
Support production deployment and adoption of Databricks solutions
Conduct technical workshops, enablement sessions and knowledge-sharing activities
Required Skills
Must Have
Strong experience with Databricks
Strong Apache Spark / PySpark
Strong SQL
Strong Data Engineering fundamentals
Experience designing data pipelines / data platforms
Experience with Lakehouse / Data Warehouse / Big Data architecture
Experience with at least one cloud:
AWS
Azure
GCP
Strong customer-facing / consulting experience
Architecture/design experience
Excellent communication and presentation skills
Good to Have
Delta Lake
Unity Catalog
MLflow
Kafka
Streaming
Data migration
MLOps
Machine Learning
GenAI
Data governance
Terraform / CI/CD
Snowflake
Hadoop ecosystem
Databricks' own Solutions Architect requirements similarly emphasize customer-facing architecture, big-data/data-science expertise, SQL, programming, cloud and the ability to translate customer needs into technical solutions.
Must-have Skills
Data Engineering, Python, Solution Architecture
Good-to-have Skills
SQL, azure, Databricks

Work arrangement
Yes