Architect role in a global organization focused on designing and optimizing scalable data and analytics solutions using Azure DevOps, Python, Databricks, SQL, Databricks Workflows and PySpark.
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Responsibilities
Design robust end to end data architectures that leverage Databricks SQL Databricks Workflows and PySpark to deliver secure and scalable analytics platforms
Develop reusable Python and PySpark components that standardize data ingestion transformation and validation patterns
Implement Azure DevOps based continuous integration and continuous delivery pipelines
Collaborate with data engineers, data analysts and application teams to translate complex functional requirements into pragmatic technical designs
Optimize Databricks SQL queries and cluster configurations to improve performance and manage costs
Requirements
Nice to have: integrating Databricks with broader Azure data services
Lead the firm’s data access and protection initiatives alongside a broader portfolio of technology and operations projects, driving delivery across data masking, access governance, and data loss prevention.
Locations (2)
Hamilton, New Jersey, United States
London, England, United Kingdom
Compensation
The anticipated base salary range for this role is $150,000 - $200,000. Base salary for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. In addition, this role may be eligible for a discretionary bonus.
Responsibilities
Lead end-to-end delivery of data protection initiatives, including PII data masking, data classification, encryption, and data loss prevention (DLP) programs
Manage initiatives that strengthen role-based access, entitlement management, periodic access reviews, and privileged access
Coordinate PII inventories across APIs and applications, prioritize masking by data sensitivity, sequence delivery waves, and define the testing scope required after each release
The base pay range for this position is USD $160,000.00/Yr. - USD $220,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
Responsibilities
Lead and execute major data security projects, including enterprise data masking, data handling, data loss prevention, data classification and data sanitization initiatives across production and non‑production environments.
Design, build, and operate a DSPM program to continuously discover, classify, and monitor sensitive data across on‑premise and cloud environments.
Implement controls to reduce data exposure, unauthorized access, and data leakage risks.
Integrate Microsoft Purview to ensure secure usage of AI-powered tools and sensitive data governance.
Tune and optimize detection rules to improve visibility and reduce false positives.
Requirements
Bachelor's degree in Cybersecurity
Bachelor's degree in Computer Science
Advanced degree
Nice to have: Professional certifications such as CISSP, CISM, CCSP, GIAC, CEH, or CISA
Nice to have: Experience securing data in cloud environments
Lead technical vision and delivery of complex Lakehouse and Data Intelligence Platform solutions across multi-cloud environments.
Compensation
A reasonable estimate of the current range for this role in the U.S. is $140,000 - $210,000.
Responsibilities
Design enterprise-scale Lakehouse solutions leveraging Databricks Data Intelligence Platform
Architect and configure enterprise security and governance models using Unity Catalog
Lead architectural strategy and technical execution for migrating legacy enterprise data warehouses and Hadoop platforms to Databricks
Define patterns for batch and low-latency streaming workloads utilizing Structured Streaming, Delta Live Tables, Auto Loader, and Apache Spark optimization techniques
Lead engineering pods by example—establishing reference architectures, conducting architectural reviews, reviewing pull requests, and standardizing CI/CD pipelines
Lead data security strategy and delivery for Deloitte clients, shaping solutions, building relationships, and driving projects across cloud and on-prem environments.
Responsibilities
Build and maintain client relationships with senior stakeholders
Define data security functional and non-functional requirements
Perform baseline assessments and gap analyses
Develop target state architectures and implementation plans
Produce client deliverables and executive presentations
Requirements
Bachelor's degree (or equivalent) in Computer Science or Engineering
Nice to have: AI use cases for data security
Nice to have: Experience with Microsoft, Broadcom, ForcePoint
Nice to have: Knowledge of GDPR, CCPA
Nice to have: Experience in digital transformation environments
Own the delivery of client de-identification projects, from the first look at the raw data to a dataset the client accepts.
Responsibilities
Own the delivery of client de-identification projects
Run each corpus through our de-identification pipeline and check the output for accuracy
Diagnose problems as they appear
Fix issues or explain to senior engineers
Rerun the pipeline and confirm fixes
Requirements
Bachelor's degree in a technical field (computer science, engineering, math, statistics, physics, bioinformatics, or similar) or currently enrolled in one
Nice to have: Experience with model inference
Nice to have: Experience building or maintaining data masking
Nice to have: Experience at an early-stage company or on a new product line
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