Resident Solution Architect

Weekday; India; Remote; INR 3,500,000 - 6,000,000; Full time

Job summary

Weekday is seeking a Resident Solutions Architect to work with enterprise customers on Databricks-based Lakehouse solutions. You will architect data platforms, guide POCs, and drive successful production deployments across AWS, Azure, and GCP on a remote India engagement.

You will bring 9+ years of experience in data engineering and strong customer-facing consulting skills, with hands-on expertise in Databricks, Spark, SQL, and modern cloud data platforms.

Qualifications

• Must-have data engineering and cloud architecture skills.
• Experience with Databricks platform and Spark ecosystem essential.
• Ability to translate complex data requirements into scalable architectures.

Responsibilities

• Work directly with enterprise customers as a trusted technical advisor.
• Translate customer requirements into scalable data architectures.
• Design and implement Lakehouse/Data+AI architectures using Databricks.
• Develop POCs, technical workshops, and architecture demonstrations.
• Work with Spark/PySpark, SQL and Databricks.
• Design scalable data ingestion, transformation and processing pipelines.
• Integrate Databricks with AWS/Azure/GCP.
• Support production deployment and adoption of Databricks solutions.
• Conduct technical workshops and enablement sessions.

Skills

Databricks

Apache Spark

PySpark

SQL

Data Engineering

Data pipelines

Cloud platforms

AWS

Azure

GCP

Customer-facing

Architecture

Communication

Tools

Databricks

Delta Lake

Unity Catalog

MLflow

Job description

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

₹35,00,000 - ₹60,00,000 a year

We are looking for an experiencedResident Solutions Architectwith strong expertise inDatabricks, 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 combinesstrong 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 modernLakehouse / Data + AI architecturesusing Databricks.
• Develop and guide POCs, technical workshops and architecture demonstrations.
• Work extensively withApache Spark / PySpark, SQL and Databricks.
• Design scalable data ingestion, transformation and processing pipelines.
• Work withDelta Lake, Unity Catalog and Databricks platform capabilities.
• Support data migration and modernization initiatives.
• Integrate Databricks with cloud platforms such asAWS, 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 withDatabricks
• StrongApache Spark / PySpark
• StrongSQL
• Strong Data Engineering fundamentals
• Experience designing data pipelines / data platforms
• 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