While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Architect - Data (Azure)
Experience: 7-14 Years
Location: Mumbai/Bangalore/Trivandrum
Must Have Skills
- Minimum 5 end to end AWS Data Engineering project implementation engagement experience
- Profound knowledge and expertise in Microsoft Azure, including Azure Data services like Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Databricks, Azure Data Factory etc.
- Strong skills in data modeling, data warehousing, and data architecture to design efficient and scalable data solutions.
- Proficiency in data integration techniques, ETL processes, and data pipeline development using Azure services.
- In-depth understanding of data governance principles, data security, and compliance requirements (e.g., GDPR, HIPAA), and the ability to implement these in Azure environments.
- Experience with database management systems, both relational and NoSQL, and the ability to choose the right storage solutions for different data types.
- Proficiency in SQL for querying and working with relational databases, as well as knowledge of NoSQL databases
- Familiarity with data analysis tools and reporting platforms such as Power BI, Tableau, or similar.
- Strong programming skills in languages like Python, Java, or C# for scripting, automation, and data manipulation.
- Extensive experience in data migration, including migrating data from on-premises environments to Azure and from one cloud platform to another.
- The ability to manage data-related projects, work collaboratively with cross-functional teams, and meet project deadlines
- Strong documentation skills for creating clear architectural documents and excellent communication skills for conveying complex technical concepts to non-technical stakeholders
Good To Have Skills
- Relevant Microsoft Azure certifications, such as Azure Data Engineer or Azure Solutions Architect, can enhance your credibility.
- Knowledge of big data technologies like Hadoop, Spark, and Kafka for handling large datasets.
- Experience in PowerApps
- Familiarity with machine learning concepts and Azure Machine Learning for implementing data-driven models.
- Experience with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines for data solutions.
- Understanding of real-time data processing and streaming technologies, such as Azure Stream Analytics.
- Skills in advanced analytics, data mining, and statistical analysis is good to have.
- Experience of data migration from AWS to Azure cloud is good to have
- Knowledge of Lakehouse patterns, Delta Lake / Iceberg / Parquet formats.
- Understanding of Azure infrastructure - Networking, Security, Virtual Networks, Key Vault and Monitoring
Role & Responsibilities
- Designing and implementing data architecture in Azure, taking into account the organization's data requirements and future scalability.
- Developing the data integration solutions to bring data from various sources into Azure, ensuring data quality and consistency.
- Choosing and implementing appropriate Azure data storage solutions for different data types and optimizing for performance and cost.
- Implementing data processing solutions using Azure services, optimizing for performance and scalability.
- Planning, executing, and overseeing data migration projects, including migrations from on-premises environments to Azure and between different cloud platforms.
- Establishment and enforcement of data governance policies, ensuring data is compliant with regulations and industry standards.
- Monitoring data solutions for performance and cost, making necessary adjustments for optimization.
- Create data models as per client solution needs
- Documentation for data architecture and solutions and provide training to team members and stakeholders.
- Collaboration with cross-functional teams, including data engineers, data scientists, and business stakeholders, to ensure data solutions meet business needs.
- Managing data-related projects, including scoping, planning, execution, and data migration, while adhering to project timelines and budgets.
- Communicate with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
