BI Analyst (Adobe + Power BI)

Promote and enforce information security practices

Identify and report security risks

Represent the company's security program in customer interactions

Lead technical security discussions

Respond to and resolve customer inquiries promptly within SLA windows

Contribute to the customer-facing self-serve knowledge base

Lead advanced penetration testing and security assessments.

Define offensive security roadmap and adopt cutting-edge techniques.

Design, build, and maintain observability libraries and tools

Troubleshoot production issues for performance and availability

Build reliable and scalable Kubernetes platforms and tooling

Improve developer experience with clear docs and self-service tools

Translate Adobe Analytics data into performance insights

Create unified reporting narratives

Resolve customer inquiries promptly and efficiently

Contribute to knowledge base and team collaboration

Promote awareness of information security practices

Identify and report security risks

Design and deliver partner enablement programs.

Provide technical advisory on Docker integration.

Promote and enforce information security practices

Assess and audit client marketing technology stack

Developing containerized microservices for a distributed multi-tenant system

Processing data, real-time events, and network telemetry for insights and security

Work with clients on big data challenges

Deliver data engineering and data science projects

Work on solving big data challenges for clients

Deliver data engineering and data science projects

Design and build reference architectures

Guide customers on big data and AI deployments

Design and build reference architectures

Collaborate with engagement managers

Lead advanced penetration testing

Define offensive security strategy

Responding to and resolving customer inquiries efficiently

Contributing to self-serve knowledge base

Serve as primary security representative in customer engagements.

Articulate security architecture, controls, and risk management approach.

Lead cloud engineering team in developing microservices for a multi-tenant platform.

Ensure performance, security, and reliability in cloud service development.

Lead integration projects effectively

Map customer needs to API capabilities

Develop containerized microservices for a distributed system

Process data, real-time events, and network telemetry across clouds

Develop containerized microservices for a distributed multi-tenant system

Mentor junior engineers, new grads, and interns

Serve as primary security representative in customer engagements

Articulate security architecture and threat models

Lead advanced penetration testing activities

Perform security assessments on Cloud Infrastructure

Define roadmap and strategy for ML Data Service platform

Architect scalable data systems

Design end-to-end data/analytics architecture

Architect scalable data platforms

Define and drive ML Data Service roadmap and strategy

Architect scalable data ingestion and transformation processes

Design, deploy, and manage SQL Server on-prem and Azure environments

Optimize performance through query tuning, indexing, and resource management in Azure

Promote and enforce information security practices

Identify and report security risks

Lead team in building automated database operations

Orchestrate node lifecycles and cluster operations for DB systems

Showcasing Databricks' solutions to address business problems

Providing technical leadership for customer evaluation and adoption

Serve as the primary security representative in customer engagements.

Articulate security architecture, controls, and risk management across different layers.

Promote and enforce information security practices

Understand and evaluate data storage and processing

Lead and conduct advanced penetration testing

Provide expert guidance on security

Articulate business and technical value of Neo4j to customers

Lead technology evaluation stages in sales cycles

Develop reliable and optimized code

Collaborate to reduce technical debt and resolve customer issues

Lead and conduct advanced penetration testing

Perform security assessments on cloud environments

Develop state-of-the-art voice cloning solutions.

Ensure low latency and cost-effective text to speech capabilities.

Define and execute a product security strategy with AI capabilities

Recruit, develop, and retain top security talent

Serve as primary security representative in customer engagements

Drive technical security discussions

Promote information security practices

Ensure compliance with data privacy standards

Lead and conduct advanced penetration testing

Define offensive security roadmap

Drive design and implementation of new features

Break down complex problems into elegant designs

Lead product management for cloud cost visibility product

Define vision, roadmap, and strategy for cloud cost features

Serve as primary security representative in customer engagements

Articulate security architecture and controls

Efficient implementation of AI models

Prioritizing tasks based on urgency and impact

Lead ML projects and client discussions

Optimize ML models for performance and scalability

Promote and enforce awareness of key information security practices

Identify, assess, and report security risks

Lead advanced penetration testing of web applications and APIs.

Perform security assessments on Cloud Infrastructure.