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Resident solution architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source 1h ago.
We have tracked this listing since 28 Sep 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description agrees: it names India.
What the ad says
…Location: India…
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 3d ago · last seen 1h ago
The listing
This role is for one of Weekday’s clients
Min Experience: 9+ years
Location: India
JobType: full-time
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