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Assistant Databricks Architect Jobs in Connecticut

... firm's database architecture and associated data storage and processing systems Assist in ... Databricks (required) Subject matter expertise in Object Storage (eg: S3, Azure Blob, etc) and ...

... architecture and associated data storage and processing systems • Assist in monitoring and ... Databricks (required) • Subject matter expertise in Object Storage (eg: S3, Azure Blob, etc) and ...

Cyber Data Protection Manager

Hartford, CT

$112K - $151K/yr

Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ... Hands-on technical experience and/or architecture-level experience with Microsoft Purview ...

Cyber Data Protection Manager

Stamford, CT · On-site

$118K - $159K/yr

Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ... Hands-on technical experience and/or architecture-level experience with Microsoft Purview ...

Showing results 21-27

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.

Do Assistant Databricks Architects pay well?

Assistant Databricks Architects typically earn competitive salaries that reflect their specialized skills in cloud data platforms and architecture. Compensation varies based on experience, location, and certifications such as Databricks Certified Associate, but generally aligns with other data engineering and cloud architecture roles in the industry.

Does Assistant Databricks Architect offer remote jobs?

Assistant Databricks Architect roles often offer remote work options, especially as many organizations adopt flexible or hybrid work environments. The availability of remote positions depends on the employer and project requirements, and candidates should review specific job postings for remote work policies. Skills in cloud platforms and collaboration tools are typically important for remote roles in this field.

What does an Assistant Databricks Architect do?

An Assistant Databricks Architect supports the design, implementation, and management of data solutions using Databricks platform tools. They assist in developing data pipelines, optimizing Spark workloads, and ensuring data security and compliance, often working alongside senior architects and data engineers. Proficiency in SQL, Python, and cloud environments like AWS or Azure is typically required.

What are the most commonly searched types of Databricks Architect jobs in Connecticut?

The most popular types of Databricks Architect jobs in Connecticut are:

What are popular job titles related to Assistant Databricks Architect jobs in Connecticut?

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

What job categories do people searching Assistant Databricks Architect jobs in Connecticut look for?

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

What cities in Connecticut are hiring for Assistant Databricks Architect jobs?

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

Full-time

Re-posted 27 days ago


Job description

Job Description

What you'll do

Design and implement comprehensive data security architectures, with particular focus on database platforms (primarily SQL Server)
Develop and maintain enterprise-wide encryption strategies for securing structured and unstructured data both in transit and at rest, both and both on-premise and in the cloud
Enhance logging, monitoring and SecOps capabilities of enterprise databases and other data stores
Configure and optimize Identity and Access Management (IAM) solutions across data platforms and repositories to align to least privilege principles
Implement Data Loss Prevention (DLP) strategies and controls
Implement and maintain Information Rights Management (IRM) and Digital Rights Management (DRM) solutions
Design and implement data tokenization strategies where appropriate
Secure data processing pipelines and ensure appropriate controls for data workflows
Create and maintain data security documentation, including policies, procedures, and standards
Collaborate with development teams to ensure security best practices in data handling
Conduct vulnerability assessments of the firm's database architecture and associated data storage and processing systems
Assist in monitoring and managing security patching and upgrade processes for database platforms
What's required
Bachelor's degree in computer science, cybersecurity, or related technical field
6+ years of experience in data/database security engineering and governance
Deep expertise in database security, particularly SQL Server
Comprehensive understanding of data warehouse/data lake architectures and tools, particularly Databricks (required)
Subject matter expertise in Object Storage (eg: S3, Azure Blob, etc) and related security
Understanding of Active Directory Delegation (constrained vs. unconstrained) and associated best practices
Experience with 3rd-party SQL Server security governance and monitoring products (eg: Idera, Solarwinds)
Extensive knowledge of encryption technologies for both structured and unstructured data
Broad knowledge of secure data/file sharing solutions and ETL workflows
Experience designing and implementing data tokenization solutions
Experience with data classification and DLP technologies
Scripting/automation capabilities (eg: SQL, PowerShell, Python)
Commitment to the highest ethical standards

Qualifications

Ivy league colleges education preferred or huge plus.

Additional Information

All your information will be kept confidential according to EEO guidelines.