Database Architect

W2 Only

for W2 Candidates

Essential Duties and Responsibilities:

• Collaborate with internal customers, prospects, and stakeholders to understand and translate business use cases and requirements into data analysis and data mapping.
• Develop data integration routines that involve moving, cleansing, and transforming large amounts of data between multiple systems.
• Identify data sources, provide data flow diagrams, and document source-to-target mapping and processes.
• Work with the Data Architect to recommend optimal data models for data ingestion and collaborate with the BI developer for analytic reports.
• Provide technical enablement to team members developing database applications on a cloud platform.
• Lead small teams of 1-2 junior developers in data integration efforts, utilizing ETL design patterns, error handling, and configurations.
• Design, implement, and maintain database objects (tables, views, indexes, etc.) and database security.
• Utilize Azure database tools and technologies, including Azure Data Studio and Azure Analytics Studio,to develop, maintain, and optimize database applications and solutions1.
• Collaborate with data stewards, data owners, and domain experts to adopt best practices in reporting and analysis, ensuring data integrity, test design, validation, and documentation.
• Optimize batch processing through parallelization and performance tuning to maintain data warehouse performance.
• Establish processes for governing the identification, collection, and use of educational metadata to ensure accuracy and validity in business intelligence environments.
• Ensure data quality through audit controls, proactive monitoring, and data cleansing techniques.
• Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment.
• Perform scheduled data process integrity checks, deployments, and coordinate releases.
• Utilize source version control software like GitHub and CICD pipelines.
• Provide on-call support after hours as needed.

Requirements:

• 7 years of experience in data warehousing and business intelligence.
• 5 years in BI development leveraging Microsoft SQL Server, with expertise in T-SQL.
• 5 years in SSIS and use of stored procedures.
• 3-5 years in Azure Data Factory, SQL VMs, and ETL development.
• Experience in ingesting and aggregating data from internal and external sources to build a data lake.
• Strong understanding of data modeling (conceptual, logical, and physical model design) and experience with operational data stores, enterprise data warehouses, and data marts.
• Deep understanding of relational database design concepts and SQL programming.

Experience in guiding and mentoring developers with less experience.

• Strong analytical, conceptual, and problem-solving abilities.
• Experience with business intelligence and data warehousing design principles and industry best practices.

Good to Have:

• 1-2 years in Azure Data Warehouse (Synapse).
• 1-2 years of experience utilizing Python, PySpark, and SparkSQL on Azure Cloud.

Qualifications:

• Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND 5 years of related experience.

Skill	Required / Desired
Data Modelling	Required
Data Warehousing and Business Intelligence	Required
Microsoft SQL Server, T-SQL, PL/SQL	Required
SQL Server Integration Services	Required
Azure Data Factory, Azure Data Studio, Azure Analytics Studio	Required
O Auth2.0, JWT	Required
Python, PySpark, Spark SQL and Azure Cloud	Required
SQL, Procedures. Triggers, Functions	Required

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.