Job Description & Details
Data security is more critical than ever as cyber threats evolve, and organizations are turning to cloud‑based lakehouse architectures to protect and analyze massive volumes of information. A Senior Azure Data Engineer role in Charlotte offers the chance to shape a cutting‑edge Cyber Data Lakehouse while working with top‑tier Azure services. This position is ideal for engineers who thrive at the intersection of data engineering and security governance.
Job Summary
We are seeking a seasoned Azure Data Engineer to design, build, and maintain ingestion pipelines for a Cybersecurity Data Lakehouse. The role involves close collaboration with information security, data owners, and engineering teams to ensure data security, compliance, and agile delivery within the enterprise.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| Azure Synapse & Data Factory | Core services for orchestrating large‑scale data ingestion and transformation | Senior |
| Data Lakehouse Architecture (Delta Lake, Databricks) | Enables unified storage and analytics while supporting security controls | Senior |
| Data Governance & Security (DSPM, DLP) | Guarantees compliance, data loss prevention, and protection of sensitive data | Senior |
Interview Preparation
- How do you design an end‑to‑end ingestion pipeline in Azure Synapse and Data Factory for heterogeneous security logs?
What the interviewer is looking for: Understanding of source connectors, schema handling, incremental loads, and monitoring. - Explain the differences between a traditional data lake and a lakehouse. When would you choose Databricks over plain ADLS?
What the interviewer is looking for: Knowledge of ACID transactions, performance optimizations, and use‑case alignment. - What strategies do you implement to enforce data governance (DSPM/DLP) in a lakehouse environment?
What the interviewer is looking for: Experience with Azure Purview, tag‑based policies, encryption, and access controls. - Describe how you would integrate security sprint cycles with the IT SDLC agile process.
What the interviewer is looking for: Ability to align backlog grooming, CI/CD pipelines, and compliance checkpoints. - Can you walk through a performance tuning scenario you handled in Databricks notebooks?
What the interviewer is looking for: Practical examples of caching, partitioning, and Spark configuration adjustments.
Resume Optimization
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Data Lakehouse Architecture
- Cybersecurity Data Engineering
- Data Governance & Compliance
- DSPM (Data Security Posture Management)
- DLP (Data Loss Prevention)
- Agile SDLC
- End‑to‑end ETL pipelines
Application Strategy
When reaching out to the recruiter, send a concise email that opens with a friendly greeting, attaches your updated resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as Azure Synapse, Data Lakehouse design, and data governance implementation. Reference any relevant projects where you built secure ingestion pipelines or worked with security‑focused data platforms.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| Sr. Azure Data Engineer | 5‑7 years in Azure data services | Secure data pipelines, lakehouse design, governance | Lead Data Engineer (8‑10 yrs) |
| Lead Data Engineer | 8‑10 years, team leadership | Architecture strategy, cross‑team collaboration | Data Engineering Manager |
| Data Engineering Manager | 10‑12 years, people management | Organizational data strategy, budgeting | Director of Data Engineering |