Azure Data Architect
About Role:
As a Azure Data Architect, you will make an impact by designing and delivering enterprise-grade reporting and analytics solutions that support critical business and regulatory decision-making within a complex financial services environment. You will be a valued member of the banking technology team, working collaboratively with Product Owners, Business Analysts, and cross-functional stakeholders to transform raw data into strategic insights that drive decisions at scale.
This is not just a technical role — it is a high-impact position where your expertise in semantic layers, and cloud-native analytics will directly shape how the business understands and acts on its data. You will operate at the intersection of data engineering and business intelligence, supporting regulatory reporting, performance analytics, and enterprise data quality across multiple applications.
How You Will Make an Impact
- Design and develop enterprise data models using Star Schema (preferred) and Snowflake Schema approaches that form the backbone of scalable, high-quality reporting solutions
- Build and maintain Azure Synapse Analytics-based data solutions, including ELT and T-SQL data transformation processes that ensure reliable data flow from source to insight
- Develop rich Power BI reports, dashboards, DAX calculations, and tabular models/cubes that translate complex business requirements into intuitive, decision-ready visuals
- Collaborate closely with Product Owners and Business Analysts to capture and convert reporting requirements into scalable data products across multiple banking applications
- Maintain and support centralized reporting environments, including SSRS and Tableau solutions, ensuring data quality and consistency across the full analytics landscape
Requirements
What You Must Have
· Data architect with good experience in Azure, cloud and ETL data solutions
· Strong experience in Azure databricks, ADF, Azure SQL (also hands on).
· Knowledge and some working experience in Pyspark (optional)
· Good communication skills
· Databricks or Azure Synapse used in an actual project, and not only listed under skills. For Databricks we would look for PySpark and Delta Lake, and for Synapse, SQL pools and pipelines.
· Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or an equivalent field
What We Offer
- Competitive salary aligned with your experience and market benchmarks
- International, diverse & inclusive team culture
- Open team spirit in a technology-driven organisation that values collaboration and innovation
Contact the Recruiter
Megha Nagpal ✉️ [email protected] +31 6 2715 5643
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
