Senior 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 16h 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 61d ago
The date the source published, not the day we noticed it (2026-07-16). 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
-
workable employer's own board first seen 6d ago · last seen just now
The listing
- Senior Solution Architect – Databricks
- Job Summary
- We are looking for an experienced Senior Solution Architect with deep expertise in Databricks and modern data engineering technologies to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will work closely with customers to understand their business objectives, translate requirements into technical solutions, and deliver high-performance, cloud-based data platforms.
- As a trusted technical advisor, you will provide architectural guidance, mentor engineering teams, and ensure best practices in data engineering, data governance, and platform optimization.
- Experience
- 10+ years of overall experience in Information Technology.
- 6+ years of hands-on experience designing and implementing solutions using Databricks.
- Proven experience in architecting enterprise-scale data platforms and analytics solutions.
- Key Responsibilities
- Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures.
- Design and implement modern Data Lakehouse solutions using Databricks.
- Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark.
- Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles.
- Lead solution design discussions, technical workshops, and architecture reviews with customers.
- Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Design secure, reliable, and highly available data solutions with appropriate governance and monitoring.
- Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions.
- Identify opportunities for platform optimization, automation, and continuous improvement.
- Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required.
- Required Technical Skills
- Strong hands-on expertise in Databricks.
- Strong programming skills in Python and SQL.
- Extensive experience with Apache Spark (PySpark/Spark SQL).
- Solid understanding of Data Lake and Lakehouse architectures.
- Experience implementing Medallion Architecture (Bronze, Silver, Gold layers).
- Expertise in designing and maintaining scalable ETL/ELT pipelines.
- Strong knowledge of data modeling, partitioning, optimization, and performance tuning.
- Experience working with structured, semi-structured, and unstructured data.
- Good understanding of data quality, governance, and security best practices.
- Familiarity with CI/CD practices, version control (Git), and Agile methodologies.
- Preferred Skills
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Knowledge of Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, and MLflow.
- Experience integrating Databricks with cloud-native data services and orchestration tools.
- Understanding of streaming technologies and real-time data processing.
- Experience with Infrastructure as Code (Terraform or similar) is a plus.
- Databricks or cloud certifications are highly desirable.
- Soft Skills
- Excellent customer-facing and stakeholder management skills.
- Strong analytical and problem-solving abilities.
- Excellent verbal and written communication skills.
- Ability to lead technical discussions and influence architectural decisions.
- Strong collaboration and mentoring capabilities.
- Ability to manage multiple priorities in a fast-paced environment.
- What You'll Bring
- A customer-first mindset with the ability to translate business requirements into scalable technical solutions.
- Strong architectural thinking with expertise in modern data platforms.
- Passion for building reliable, high-performance, and cost-effective data solutions.
- Ability to work independently while collaborating effectively across distributed teams.