We're on the lookout for exceptional individuals to join our team as Senior Lead Data Engineers – Databricks. As part of our team, you'll play a key role in designing and delivering modern, scalable data platforms for clients across multiple industries, leveraging Azure and Databricks technologies.
You will lead the design, development, and optimization of end-to-end data engineering solutions built on modern Lakehouse architectures. Working closely with clients and cross-functional teams, you'll translate business requirements into scalable, high-performance data platforms while mentoring engineers and driving technical excellence.
Requirements
- Responsibilities
- Lead the design, development, and maintenance of scalable data engineering solutions using Azure and Databricks.
- Design and implement modern Lakehouse architectures following industry best practices.
- Build and optimize large-scale batch and streaming data pipelines.
- Develop ETL/ELT pipelines using Databricks, PySpark, SQL, and Azure Data Factory.
- Design, implement, and optimize Delta Lake solutions for reliable and performant data processing.
- Collaborate with clients to gather requirements and translate business needs into technical solutions.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Design and maintain enterprise-grade Data Warehouses, Data Lakes, and Lakehouses.
- Implement data governance, security, and metadata management using Azure services such as Purview, Key Vault, and Microsoft Entra ID (Azure Active Directory).
- Establish CI/CD pipelines and DevOps practices for data engineering workloads.
- Mentor and coach junior data engineers while promoting engineering best practices.
- Participate in architecture discussions, solution design, and technical leadership initiatives.
- Contribute to internal knowledge sharing and continuous improvement.
- Requirements
- Required
- 10+ years of professional experience in Data Engineering.
- 4+ years of hands-on experience with Databricks.
- Strong experience developing data pipelines using PySpark and Apache Spark.
- Strong experience designing and implementing Lakehouse architectures.
- Experience working with Delta Lake and Medallion Architecture.
- Strong knowledge of SQL and Python.
- Experience with Azure Data Factory.
- Experience working with Azure Data Lake Storage Gen2 (ADLS Gen2).
- Experience with Azure Synapse Analytics.
- Experience with Data Warehousing concepts and dimensional modeling.
- Strong understanding of ETL and ELT design patterns.
- Experience optimizing Spark jobs, partitioning strategies, joins, caching, and workload performance.
- Experience with Git and Azure DevOps CI/CD pipelines.
- Experience implementing secure data platforms using Azure Key Vault, Microsoft Entra ID, and Microsoft Purview.
- Experience building scalable enterprise data platforms in Azure.
- Experience working directly with clients and gathering technical requirements.
- Experience mentoring engineers and leading technical initiatives.
- Strongly Preferred
- Experience with Snowflake.
- Experience building real-time streaming solutions using Structured Streaming, Kafka, or Event Hubs.
- Experience with Databricks Workflows.
- Experience with Delta Live Tables.
- Experience with Unity Catalog.
- Experience with Databricks SQL.
- Experience with MLflow.
- Experience with dbt.
- Experience with Airflow or other orchestration platforms.
- Experience working in Agile environments.
- Nice to Have
- MSc in Computer Science or a related field.
- Experience with DataOps practices.
- Experience with MLOps.
- Experience with Azure Machine Learning.
- Experience with Azure Cognitive Services.
- Experience with Docker and Kubernetes.
- Experience working with Microsoft Fabric.
- Experience with Power BI.
- Technical Skills
- Core Technologies
- Azure Databricks
- Apache Spark
- PySpark
- SQL
- Python
- Delta Lake
- Azure Data Factory
- Azure Synapse Analytics
- ADLS Gen2
- Snowflake
- Data Engineering
- Data Warehousing
- Data Lakes
- Lakehouse Architecture
- Medallion Architecture
- Dimensional Modeling
- ETL / ELT
- Batch Processing
- Streaming Data Pipelines
- Data Governance
- Performance Optimization
- Azure Ecosystem
- Azure DevOps
- Microsoft Purview
- Azure Key Vault
- Microsoft Entra ID
- Azure Functions
- Event Hubs
- Nice-to-Have Technologies
- Kafka
- Airflow
- dbt
- MLflow
- Docker
- Kubernetes
- Power BI
Benefits
- Salary paid in USD
- Six-month career advancing opportunities
- Supportive and friendly work environment
- Premium medical insurance [employee +family]
- English language development courses
- Interest-free loans paid over 2.5 years
- Technical development courses
- Planned overtime program (POP)
- Employment referral program
- Premium location in Maadi
- Social insurance
Skills Required
- 10+ years of experience as a data engineer
- Familiarity with analytical architectures (Data Warehouses, Data Lakes, Data Lakehouses)
- MS SQL Server (on-premises)
- Azure SQL
- Azure Synapse Analytics (including Dedicated Pools)
- Query and workload optimization
- Administration and management of analytical solutions on-premises and in cloud
- Azure Cosmos DB (NoSQL) knowledge
- Setting up Data Lakes on ADLS Gen2 and Azure Synapse Analytics
- ETL using SSIS and Azure Data Factory
- OLAP solutions using SSAS
- Azure Data Catalog familiarity for data lake metadata
- Azure HDInsight and Hadoop ecosystem tools (Hive, Spark, Kafka)
- Azure Functions for lightweight transformations
- Governance tools: Azure Purview, Active Directory, Key Vault, Azure DevOps
- Azure Stream Analytics for real-time capture and analysis
- Design and implement data warehouse solutions on-premises and cloud
- Dimensional modeling (dimensions, facts, SCDs, junk, role-playing, snapshots, etc.)
- Common ETL patterns to support data warehouse workloads
- U-SQL, PolyBase and Azure Data Lake Analytics for federated querying
- Power BI experience
- SSRS familiarity
- Databricks experience
- Experience with Snowflake
What We Do
Integrant, Inc. is a custom software development company focused on providing tailor made software solutions to fit your needs to a tee. We strive to uncover your pain points and identify how our team can seamlessly integrate with you and your business for a one-team approach. Our guiding principle is to always do the right thing for our customers and employees. Some days this means happy news of a “hit on the mark” demo, successful launch, or challenging problem solved. Other days this means making hard decisions, asking tough questions, or working more than we planned. Every day, it means doing our best to provide the highest quality service to each of our customers. We do that by investing our people in you and inspiring a people-to-people connection so when we say, “we share your goals,” we truly mean it.
