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Databricks SME/Architect

Remote:

Full Remote

Contract:

Full time

Work from:

United States

Offer summary

Qualifications:

Strong understanding of data security principles, Expertise in Databricks and data access control techniques, as well as coding skills in Python or Scala.

Key responsabilities:

Assess current data security measures and recommend improvements
Design and implement data security controls within Databricks including integration with existing security tools
Collaborate with Platform Architect to align data security controls with UAM architecture
Document design and implementation details for data access control within Databricks

Tiger Analytics XLarge https://www.tigeranalytics.com/

1001 - 5000 Employees

See more Tiger Analytics offers

Job 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

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.