Tiger Analytics Logo

Tiger Analytics

Databricks SME/Architect

Reposted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
This role involves assessing data security, designing data access controls within Databricks, and collaborating with architects to align security measures.
The summary above was generated by AI
Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Core Responsibilities:

Data Security Analysis:

  • Assess current data access policies, security protocols, and data classification procedures.
  • Identify data security risks and recommend mitigation strategies.
  • Define data access control requirements for the UAM framework.

Databricks Component Design:

  • Create detailed design of data access control mechanisms within Databricks using appropriate features.
  • Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.
  • Create pseudo code for auto-classification, auto-tagging, and data usage logging within Databricks.

Collaboration & Documentation:

  • Collaborate with the Platform Architect to ensure alignment between data security controls and the overall UAM architecture.
  • Document the design and implementation of data access control within Databricks.
Requirements
  • Min. 12+ years of experience working in Data Engineering Field
  • Strong understanding of data security principles and best practices.
  • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
  • Experience with data classification and masking techniques.
  • Strong coding skills in Python or Scala.
  • Excellent analytical, problem-solving, and communication skills.
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Top Skills

Databricks
Python
Scala

Similar Jobs

An Hour Ago
Easy Apply
Remote
United States
Easy Apply
Mid level
Mid level
Information Technology • Security • Software • Cybersecurity
Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.
Top Skills: Aws SagemakerGcp Vertex AiAzureNode.jsPythonPyTorchSci-Kit LearnTensorFlowTypescript
An Hour Ago
Remote or Hybrid
USA
116K-160K Annually
Expert/Leader
116K-160K Annually
Expert/Leader
Cloud • Edtech • Information Technology • Software
Lead research initiatives to enhance content strategy, evaluate emerging technologies, and collaborate with teams to innovate content development practices.
Top Skills: AIAnalyticsEmerging TechnologyMachine LearningProject Management
An Hour Ago
Remote or Hybrid
USA
141K-197K Annually
Senior level
141K-197K Annually
Senior level
Cloud • Edtech • Information Technology • Software
The Staff Product Manager will lead product roadmapping, foster partnerships, reduce user frustration, and collaborate with cross-functional teams to deliver innovative solutions.
Top Skills: Api'SHeapJIRAPendoSaaS

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account