Time since we first saw it
Day 41
Similar jobs usually come down between day 6 and day 47.
At Cognizant, jobs usually come down by about day 21.
From 1,417 similar postings that came down, and 384 of Cognizant’s. Coming down is not always a hire.
Amsterdam, AM - Schiphol, Amsterdam, Netherlands
Live, first seen by us 41 days agoWork setup in the employer’s posting: hybrid remoteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design enterprise data models using Star Schema and Snowflake Schema approaches
Develop Power BI reports, dashboards, DAX calculations and tabular models
Convert reporting requirements from Product Owners and Business Analysts into data products
Design and develop enterprise data models using Star Schema (preferred) and Snowflake Schema approaches
Develop rich Power BI reports, dashboards, DAX calculations, and tabular models/cubes
Collaborate closely with Product Owners and Business Analysts to capture and convert reporting requirements into scalable data products
· 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
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.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 41
Similar jobs usually come down between day 6 and day 47.
At Cognizant, jobs usually come down by about day 21.
From 1,417 similar postings that came down, and 384 of Cognizant’s. Coming down is not always a hire.
142 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
· 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
Azure Data Architect About Role:
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.
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).
- 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
- 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
· Strong experience in Azure databricks, ADF, Azure SQL (also hands on). · Knowledge and some working experience in Pyspark (optional) · Good communication skills
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
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
Contact the Recruiter
Megha Nagpal ✉️ Megha.Nagpal3@cognizant.com +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.
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Amsterdam, AM - Schiphol, Amsterdam, Netherlands
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