
Senior Enterprise Data Solutions Architect
2 weeks ago
As a Senior Data Warehouse Developer, you will play a crucial role in designing and enhancing data solutions to ensure the reliability, optimization, and alignment of our data warehouse with business needs. You will collaborate closely with stakeholders to understand requirements and deliver solutions that meet industry best practices.
Key Responsibilities:
• Analyze various applications and products to design and implement Data Warehouse (DW) and Business Intelligence (BI) solutions
• Ensure strong data governance, including data security, data quality, and data lineage/provenance
• Maintain close collaboration with application stakeholders to understand requirements and deliver solutions
• Design and architect enhancements and future releases of the data platform
• Participate in troubleshooting and resolving data and application-related issues
• Work jointly with cross-functional teams and partners involved in platform development and maintenance
• Ensure adherence to quality controls, standards, and processes throughout the development lifecycle
• Plan and coordinate major and minor releases of the data warehouse solution
• Maintain robust configuration and change management practices
• Demonstrate the ability to work independently in a fast-paced environment, managing multiple priorities efficiently
Required Skills and Qualifications:
• End-to-end lifecycle of data warehousing, data lakes, and reporting
• Experience with maintaining/managing data warehouses
• Strong SQL and analytical skills
• Experience in Microsoft Azure Services
• Experience in developing and supporting ADF pipelines
• Experience in Azure SQL Server/Databricks/Azure Analysis Services
• Experience in developing tabular models
• Experience in working with APIs
• Minimum 2 years of experience in a similar role
• Experience with data warehousing, data modeling
• Strong experience in SQL
• 2-6 years of total experience in building DW/BI systems
• Experience with ETL and working with large-scale datasets
• Proficiency in writing and debugging complex SQLs
• Prior experience working with global clients
• Experience with distributed data management, data failover, including databases (relational, NoSQL, Big Data, data analysis, data processing, data transformation, high availability, and scalability)
• Experience in end-to-end project implementation in Cloud (Azure/AWS/GCP) as a DW BI Developer
• Rich data governance experience, data security, data quality, provenance/lineage
• Hive, Impala understanding of industry trends and products in dataops, continuous intelligence, augmented analytics, and AI/ML
• Prior experience of working in cloud like Azure, AWS, Snowflake, and GCP
• Prior experience of working with Global Clients
Benefits:
We value individual learning growth, success, and development. We would like to create a continuous culture of learning, implementing learn and grow, to be prepared for our company's super growth and global demands.
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