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Assistant Databricks Architect Jobs in Massachusetts

Lead Software Engineer

Boston, MA · On-site

$85 - $90/hr

Partner with global engineering, product management, architecture, and business stakeholders to ... PySpark with Databricks, experience with Azure and/or Google Cloud Platform, and building privacy ...

Document systems, pipelines, and architecture, and help evolve our engineering best practices ... Comfort using AI coding assistants like Claude Code as part of your workflow, and the discipline to ...

Document systems, pipelines, and architecture, and help evolve our engineering best practices ... Comfort using AI coding assistants like Claude Code as part of your workflow, and the discipline to ...

Lead Software Engineer

Boston, MA · On-site

$85 - $90/hr

Partner with global engineering, product management, architecture, and business stakeholders to ... PySpark with Databricks, experience with Azure and/or GCP, and building privacy-safe CDPs or ...

... architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput ... Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. Base Salary Range ...

... architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput ... Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. $168,000 - $239,000 ...

... architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput ... Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. $168,000 - $239,000 ...

Showing results 41-50

Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

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For Assistant Databricks Architect jobs in Massachusetts, the most frequently searched job titles are:

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The top searched job categories for Assistant Databricks Architect jobs in Massachusetts are:

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Cities in Massachusetts with the most Assistant Databricks Architect job openings:

Senior Consultant-AI and Data Risk Management

Deloitte

Boston, MA • On-site

Full-time

Re-posted 20 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Qualifications:

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Education:Bachelor's DegreeEmployment Type:

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