Databricks SME/Architect

Posted 23 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
Expert/Leader
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
The Databricks SME/Architect is responsible for assessing data security, designing data access control mechanisms in Databricks, creating integration guidelines with security tools, and collaborating with the Platform Architect. This role requires extensive experience in data engineering and security principles.
Summary Generated by Built In

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

Python
Scala
The Company
Bengaluru, Bengaluru
5,000 Employees
On-site Workplace
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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