Job description
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Must have Skills : Apache Spark, Azure Data Factory, Databricks,
Job Description : Lead Consultant - Azure Data Platform Engineering & Ops
You will be responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.
Responsibilities:
- Technical Leadership: Lead and mentor a team of data engineers and operations specialists, providing technical guidance, fostering skill development, and promoting a culture of excellence.
- Azure Data Architecture: Collaborate with stakeholders to design scalable and efficient data architectures using Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
- Data Engineering: Oversee the development of data pipelines, ETL/ELT processes, and data integrations, ensuring data quality, optimal performance, and adherence to best practices.
- Platform Operations: Manage the day-to-day operation and maintenance of the Azure Data Platform, including monitoring, troubleshooting, and performance optimization.
- Automation and DevOps: Implement automation strategies and DevOps practices to streamline deployment, monitoring, and management of data solutions, ensuring efficient operations and rapid response to issues.
- Data Security and Compliance, Capacity Planning and Scalability, Collaboration and Communication, Performance Monitoring and Optimization
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Extensive experience in data engineering, data architecture, and cloud platform operations, with a focus on the Microsoft Azure ecosystem.
- In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
- Proficiency in designing and optimizing data pipelines, ETL/ELT processes, and data integrations.
- Strong understanding of data governance, security best practices, and compliance standards in a cloud environment.
- Hands-on experience with automation, infrastructure as code (IaC), and DevOps principles.
- Excellent leadership and team management skills, with a proven ability to guide and inspire technical teams.
- Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or equivalent are highly desirable.
