
IN-Manager_ Application & Solution Development_IN_IT_ Services CO_IFS_PAN India
- Bangalore, Karnataka
- Permanent
- Full-time
- Lead, mentor, and grow a high-performing engineering team specializing in Azure Cloud, Microsoft Fabric, and Databricks technologies.
- Define and execute the cloud data platform roadmap, aligned with business objectives and technology best practices.
- Architect scalable, resilient, and secure data solutions using Microsoft Fabric (including One Lake, Data Factory, Synapse, etc.) and Databricks on Azure.
- Oversee the design and implementation of ETL/ELT pipelines, data lakes, and analytics platforms to support advanced analytics, machine learning, and BI initiatives.
- Collaborate with data architects, product owners, and business stakeholders to translate requirements into technical solutions.
- Drive adoption of DevOps practices, automation, CI/CD pipelines, and infrastructure as code for cloud data engineering workflows.
- Monitor and improve performance, reliability, and cost optimization of data engineering solutions.
- Ensure compliance with data governance, security policies, and regulatory requirements.
- Stay current with industry trends in cloud data engineering, Azure services, Microsoft Fabric updates, and Databricks innovations. Advocate for continuous technical improvement.
- Manage vendor relationships and coordinate with Microsoft support as needed.
- Provide technical oversight, code reviews, and promote best practices within the team
- Cloud Data Engineering Expertise
- Deep knowledge of Azure Data Services such as Azure Data Factory, Synapse Analytics, Azure Blob Storage, and Azure Data Lake Storage.
- Strong experience with Databricks on Azure, including Spark, Delta Lake, and associated data engineering patterns.
- Microsoft Fabric Proficiency
- Practical experience with Microsoft Fabric components (OneLake, Data Factory integration, Synapse, and Power BI integration).
- Ability to architect solutions leveraging Fabric’s unified data and analytics capabilities.
- Architecture & Solution Design
- Capability to design scalable, resilient, secure, and cost-effective cloud data platforms.
- Strong understanding of data pipeline architectures (ETL/ELT), data lakes, and analytics workflows.
- Programming & Automation
- Proficiency with programming/scripting languages like Python, SQL, Scala for data engineering tasks.
- Experience with Infrastructure as Code (Terraform, ARM templates) and CI/CD pipelines (Azure DevOps, GitHub Actions)
- Ability to analyze and solve complex technical problems.
- Excellent communication and collaboration skills
- Curiosity: A natural curiosity and eagerness to learn, explore new ideas, and see past the status quo.
- Collaboration: A natural collaborator, suited to work in a collaborative culture with a diverse and talented team that values collaboration, constructive challenging and mutual respect. ·
- Challenge: Demonstrates the capability to question and challenge ideas, decisions, and processes in a constructive manner, fostering a culture of continuous improvement and innovation while maintaining respect and professionalism in all interactions.
- Value Driven: Demonstrates a strong commitment to ethical principles and organisational values, ensuring that all actions and decisions align with the company's mission and integrity standards.
- Excellent attention to detail.
- Proactive.
- Adaptability in dynamic environment
- Azure Certified Solution Architect