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Senior Data / Data Solutions Architect - Databricks
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingTranslate business requirements into end-to-end data solution architectures
Lead architecture design, technical feasibility assessments, and solution reviews
Run cloud data platform and data modernization initiatives on Azure Databricks
Guide data engineering, analytics, cloud, and DevOps teams
Ensure solutions meet scalability, performance, security, governance, and cost requirements
From the employer’s posting
Translate business requirements into end-to-end data solution architectures
Lead architecture design, technical feasibility assessments, and solution reviews
Work on migration and transformation projects involving Azure Databricks and Databricks Lakehouse
Guide data engineering, analytics, cloud, and DevOps teams
Ensure solutions meet scalability, performance, security, governance, and cost requirements
Tools in this posting
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- GCP
- Spark
Source — Tool mentions in context
We are looking for an experienced Data Solutions Architect to design scalable, secure, and modern data solutions for enterprise data and AI initiatives. Responsibilities Translate business requirements into end-to-end data solution architectures Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns Lead architecture design, technical feasibility assessments, and solution reviews Design and support cloud data platforms and data modernization initiatives Work on migration and transformation projects involving Azure Databricks and Databricks Lakehouse Guide data engineering, analytics, cloud, and DevOps teams Ensure solutions meet scalability, performance, security, governance, and cost requirements Requirements 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering Strong experience designing production-ready data architectures Hands-on experience with Azure, AWS, or GCP Strong knowledge of Databricks, Apache Spark, and Delta Lake Proficiency in SQL and modern data platforms Understanding of batch, streaming, ETL/ELT, data modeling, and data governance Excellent communication, stakeholder management, and problem-solving skills Nice to have Proficiency in Python, Java, or Scala Familiarity with Informatica MDM, Celonis, or Azure Data Factory Background in cloud migration or data and AI platforms
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
We are looking for an experienced Data Solutions Architect to design scalable, secure, and modern data solutions for enterprise data and AI initiatives. Responsibilities Translate business requirements into end-to-end data solution architectures Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns Lead architecture design, technical feasibility assessments, and solution reviews Design and support cloud data platforms and data modernization initiatives Work on migration and transformation projects involving Azure Databricks and Databricks Lakehouse Guide data engineering, analytics, cloud, and DevOps teams Ensure solutions meet scalability, performance, security, governance, and cost requirements Requirements 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering Strong experience designing production-ready data architectures Hands-on experience with Azure, AWS, or GCP Strong knowledge of Databricks, Apache Spark, and Delta Lake Proficiency in SQL and modern data platforms Understanding of batch, streaming, ETL/ELT, data modeling, and data governance Excellent communication, stakeholder management, and problem-solving skills Nice to have Proficiency in Python, Java, or Scala Familiarity with Informatica MDM, Celonis, or Azure Data Factory Background in cloud migration or data and AI platforms
Source details
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- Pay
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- Location & working pattern
India
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- Work authorization
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