Databricks Architect

February 8

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Tiger Analytics

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Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 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.