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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are popular job titles related to Databricks Architect jobs in Canton, MA? For Databricks Architect jobs in Canton, MA, the most frequently searched job titles are:
What cities near Canton, MA are hiring for Databricks Architect jobs? Cities near Canton, MA with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Canton, MA as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Azure Databricks Architect Location:- Canton, MA Duration:- Full Time

Siri InfoSolutions Inc

Canton, MA • On-site

$67.25 - $87.50/hr

Full-time

Re-posted 14 days ago

Job description

Azure Databricks Architect

Location:- Canton, MA

Duration:- Full Time

Job Description

Must Have Technical/Functional Skills

  • Healthcare Payer Experience
  • Strong experience in Databricks- Primary Language-Scala
  • Strong Big Data Skills
  • Strong experience of building data pipelines using Azure Data Factory and Apache Spark (Azure Databricks)
  • Ability to analyse large datasets
  • Strong analytical skills
  • Customer Focus

Roles & Responsibilities

  • Design and implement highly performant data ingestion pipelines from multiple sources using Apache Spark and Azure Databricks
  • Deliver and present proofs of concept to of key technology components to project stakeholders
  • Develop scalable and re-usable frameworks for ingesting of geospatial data sets
  • Integrate the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
  • Work with event based / streaming technologies to ingest and process data
  • Work with other members of the project team to support delivery of additional project components (API interfaces, Search)
  • Evaluate the performance and applicability of multiple tools against customer requirements
  • Work within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
  • Generic Managerial Skills, If any
  • Work in Onsite-Offshore Model
  • Team Player
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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005

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