Security Tester
15 hours ago
Key Responsibilities:
- Design and implement end-to-end data architecture, including data models, data pipelines, integration layers, and storage solutions.
- Develop scalable, secure, and high-performing data platforms across cloud environments (Azure, AWS, or GCP).
- Define enterprise data standards, governance frameworks, metadata models, and data lifecycle policies.
- Architect data warehouses, data lakes, and lakehouse solutions using modern technologies such as Azure Synapse, Snowflake, Databricks, Redshift, or BigQuery.
- Design conceptual, logical, and physical data models for structured and unstructured datasets.
- Collaborate with business stakeholders, data engineers, BI teams, and application teams to align architecture with organizational needs.
- Lead the modernization of legacy data systems into cloud-native architectures.
- Build and optimize ETL/ELT pipelines using tools like Azure Data Factory, DataBricks, Airflow, Informatica, or Talend.
- Oversee data quality, data lineage, data cataloging, and MDM (Master Data Management) initiatives.
- Ensure data security, privacy, and compliance with standards (PII, GDPR, HIPAA, SOC2).
- Provide technical leadership, architectural guidance, and best practices for data engineering teams.
- Evaluate new technologies and recommend adoption for enterprise data strategies.
- Create documentation, architectural blueprints, and governance standards.
- Troubleshoot complex data issues and ensure high availability, performance, and reliability of data systems.
Job Type: Full-time
Pay: $70,000.00-$110,000.00 per year
Work Location: In person
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