Sr. Data Lakehouse Engineer
Senior Data Lakehouse Engineer
A leading organization is seeking a Senior Data Lakehouse Engineer to join its growing data infrastructure team. Rooted in innovation and committed to leveraging data for strategic advantage, this company fosters a collaborative, forward-thinking environment where technology and talent drive meaningful impact. Their mission is centered on empowering smarter decisions through scalable data solutions and best-in-class analytics capabilities.
As a Senior Data Lakehouse Engineer, you will play a key leadership role in architecting and optimizing enterprise-scale data lake and data warehouse solutions. You will be responsible for designing robust data frameworks, building and refining data pipelines, and ensuring efficient, secure, and scalable access to large volumes of structured and unstructured data. In addition to hands-on technical execution, you’ll provide mentorship to junior engineers, guide cross-functional collaboration, and contribute to the strategic roadmap of the organization’s data ecosystem.
Key Responsibilities:
- Lead the design and implementation of scalable data lakehouse architectures using Azure cloud technologies.
- Build, optimize, and maintain complex data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Apply best practices in data storage, partitioning, indexing, and processing to improve performance and scalability.
- Enforce data governance standards, including data lineage, metadata management, and access control.
- Ensure compliance with security and regulatory requirements across all data solutions.
- Mentor junior engineers, lead code reviews, and support team-wide adoption of best practices.
- Collaborate with stakeholders across data science, analytics, and business functions to understand and meet data needs.
- Manage cost optimization strategies and support budgeting for data infrastructure initiatives.
Qualifications:
- Minimum of 5 years of experience in data engineering, including data lake and data warehouse development.
- Proficiency in Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.
- Strong programming skills in Python, SQL, and Scala.
- Hands-on experience with big data technologies, distributed computing, and large-scale data processing.
- Deep knowledge of data modeling, data governance, and data security practices.
- Demonstrated ability to lead data infrastructure projects and mentor engineering teams.
- Excellent communication, collaboration, and problem-solving skills.
- Preferred: Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate).
- Familiarity with DevOps practices and CI/CD pipelines is a plus.
Ready to make an impact?
If you're a data engineering expert looking to lead transformative initiatives and shape enterprise data strategy, we want to hear from you. Apply today with your resume and contact information to explore this exciting opportunity.