Resident Solution Architect

Weekday (YC W21); India; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

Weekday (YC W21) in India is seeking an experienced Resident Solutions Architect to work remotely with enterprise customers on Databricks, Delta Lake and data platforms. The RSA will design scalable Lakehouse architectures, lead technical engagements, and help productionize solutions on cloud platforms (AWS/Azure/GCP).

The ideal candidate combines hands-on technical expertise with strong customer-facing and communication skills.

Qualifications

• Experience with Databricks and Spark stack in enterprise environments.
• Translate customer requirements into scalable data architectures.
• Proven data engineering and architecture design capabilities.
• Proficient in cloud integrations (AWS/Azure/GCP) and data platforms.

Responsibilities

• Work directly with enterprise customers as a trusted technical advisor.
• Understand customer business and technical requirements and translate to scalable data architectures.
• Design and implement modern Lakehouse / Data + AI architectures using Databricks.
• Develop and guide POCs, workshops and architecture demonstrations.
• Work with Apache Spark / PySpark, SQL and Databricks.
• Design scalable data ingestion, transformation and processing pipelines.
• Work with Delta Lake, Unity Catalog and Databricks 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.
• Collaborate with customer engineering, data science, architecture and leadership teams.
• Provide technical recommendations around data engineering, analytics, ML/AI and cloud architecture.
• Create reference architectures, documentation and implementation guidance.
• Support production deployment and adoption of Databricks solutions.
• Conduct technical workshops, enablement sessions and knowledge-sharing.

Skills

Databricks

Apache Spark / PySpark

SQL

Data Engineering fundamentals

Data pipelines / data platforms

Lakehouse / Data Warehouse / Big Data

Cloud platforms (AWS, Azure, GCP)

Customer-facing / consulting

Architecture / design

Communication / presentation

Tools

Delta Lake

Unity Catalog

MLflow

Kafka

Terraform / CI/CD

Snowflake

Hadoop ecosystem

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

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