To qualify for the role, you must have
- Proven experience as a Technical / Data Architect
- 12+ years of overall product / solutions development experience
- Hands-on experience with software / product architecture, design, development, testing and implementation
- Excellent communication skills
- Problem-solving aptitude
- Organizational and leadership skills
- Agile development methodology
- Understanding of strategic development / deployment methodologies and techniques
- Source control (Git / VSTS)
- Continuous Integration / continuous deployment
- Information security
- Hands on Experience of Cloud based (Azure) product / platform development and implementation
- Worked on and delivered at least 2 + Cloud based solutions
- Good Experience in designing and working with Data Lakes, Data Warehouses and ETL tools (Azure based)
- Expertise in Azure Data Analytics having thorough understanding of Azure Data Platform tools
- Hands-on experience and good understanding of Azure services like : Data Factory, Data Bricks, Synapse, Data Lake Gen2, Stream Analytics, Azure Spark, Azure ML, SQL Server DB, Cosmos DB
- Hands on experience in Information management and Business Intelligence projects, handling huge client data set with functions including transfer, ingestion, processing, analysing and visualization
- excellent communication and problem-solving skills, and be able to work effectively in a team environment
Skills and attributes for success
- Designing and developing data architecture solutions that are scalable, reliable, and high performing
- Working closely with stakeholders to identify business requirements and translate them into technical data solutions.
- Providing technical leadership and support to software development team
- Defining and implementing data management policies, procedures, and standards.
- Ensuring data quality and integrity and performing data cleansing and validation.
- Developing and implementing data security and privacy policies and ensuring compliance with relevant regulations such as GDPR and HIPAA.
- Designing and implementing data migration plans to move data from legacy systems to the cloud.
- Building data pipelines and data processing workflows using Azure services such as Azure Data Factory, Azure Databricks, and Azure Stream Analytics.
- Developing and maintaining data models and database schemas, and ensuring they align with business requirements.
- Evaluating and selecting appropriate data storage technologies such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.
- Troubleshooting data-related issues and providing technical support to data users.
- Keeping up to date with the latest trends and developments in data architecture, and making recommendations for improvement.
- Coordination and interaction with multiple teams for smooth operations.
Ideally, you’ll also have
- Should have excellent communication skills & should be able to articulate concisely & clearly
- Should be ready to do an individual contributor as well as Team Leader role is what we look for
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