Databricks 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 14h 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 64d ago
The date the source published, not the day we noticed it (2026-07-13). Last seen at its source just now.
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 states no restriction of its own. This is the source's own tag.
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
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workable employer's own board first seen 6d ago · last seen just now
The listing
Job Description
We’re seeking a hands-on Senior Consultant – Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. This is a contract role based in Singapore, offering flexibility to work on-site with clients or remotely within the region.
In this role, you’ll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You’ll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.
Key Responsibilities
Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.
Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.
Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.
Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.
Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.
Required Skills & Experience
Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
Proficiency in Python or Scala for data engineering and ML workflows.
Strong understanding of AWS, Azure, or GCP cloud ecosystems.
Experience with Terraform automation, DevOps, and MLOps practices.
Familiarity with monitoring and governance frameworks for large-scale data platforms.
Nice to Have
Experience developing AI/LLM pipelines and RAG architectures on Databricks.
Exposure to Bedrock, OpenAI, or Hugging Face integrations.
Databricks certifications (Data Engineer, Machine Learning, or Solutions Architect) preferred.