Base Career helps you apply smarter for this job.
Key skills for this role
Architecture & Strategy End-to-end design of scalable, secure, and highly available
data architectures leveraging modern cloud data ecosystems (Databricks and
Snowflake).
Pipeline Engineering Architect, optimize, and oversee the deployment of reliable
streaming and batch data pipelines (ETL/ELT) to process complex, large-scale
datasets.
Cloud Architecture Architect and deploy scalable enterprise data platform
components natively within the AWS ecosystem, ensuring tight integration with core
security, IAM, and networking protocols.
API Ingestion & Orchestration Design and implement robust data ingestion
frameworks leveraging Databricks APIs and external REST/GraphQL APIs for
automated workflows, platform orchestration, and data delivery.
Real-time Processing Design and implement robust frameworks for real-time data
ingestion and processing to solve business-critical, low-latency use cases.
Hybrid Data Modelling Harmonize "old school" relational data warehousing patterns
(Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured modern
paradigms.
Technical Leadership Act as a core problem-solver for complex data bottlenecks,
provide technical governance, and mentor engineering teams on data best practices.
AI Integration Collaborate with Data Science and AI teams to architect data layers that
seamlessly support LLMs, Machine Learning pipelines, and advanced analytics
solutions.
Mandatory Skills -Databricks,Python,Scala,SQL,Snowflake,Structured Streaming,Apache
Architecture & Strategy End-to-end design of scalable, secure, and highly available
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Toronto, CAN
Virtusa is seeking a senior Business Analyst specializing in Wealth Management to translate client, regulatory, and operational needs into system enhancements and process improvements. The role requires strong requiremen
Dubai, UAE
Virtusa is seeking a Java full-stack architect to design and govern scalable banking application solutions across cloud and on-premises environments. The role requires strong solution design, architecture documentation,
Dubai, UAE
The employer is seeking a senior project delivery professional to manage complex cross-functional initiatives from business case through implementation and closure. The role requires 7–10 years of project experience, str
Dubai, UAE
Virtusa is seeking a Lead Software Engineer focused on Finacle testing for core banking technology. The role covers functional and automation testing across banking modules, using Selenium with Java or Playwright with No
Dubai, UAE
Virtusa is seeking a Lead Software Engineer to deliver production-grade BPM solutions using Flowable, Java, and Spring Boot. The role requires deep Flowable or comparable BPM experience, end-to-end process-engine ownersh
Mississauga, CAN
Virtusa recherche un profil d’analyste d’affaires ou d’analyste de données pour la région LATAM. Le poste requiert l’analyse de données, la rédaction de requêtes SQL et l’utilisation d’Agile et de Jira. La maîtrise de l’
Dubai, UAE
Virtusa is seeking a Senior Solution Architect to define, implement, and govern resilient customer-centric solutions across software, integration, cloud, and data architectures. Candidates should have more than 10 years
Dubai, UAE
Seeking a senior retail customer value management leader to own lifecycle strategy across acquisition, cross-sell, retention, and win-back. The role requires 8–10+ years in CVM, growth strategy, retail banking, or lifecy
Toronto, CAN
Dubai, UAE
Dubai, UAE
Dubai, UAE
Dubai, UAE
Mississauga, CAN
Dubai, UAE
Dubai, UAE
data architectures leveraging modern cloud data ecosystems (Databricks and
Snowflake).
Pipeline Engineering Architect, optimize, and oversee the deployment of reliable
streaming and batch data pipelines (ETL/ELT) to process complex, large-scale
datasets.
Cloud Architecture Architect and deploy scalable enterprise data platform
components natively within the AWS ecosystem, ensuring tight integration with core
security, IAM, and networking protocols.
API Ingestion & Orchestration Design and implement robust data ingestion
frameworks leveraging Databricks APIs and external REST/GraphQL APIs for
automated workflows, platform orchestration, and data delivery.
Real-time Processing Design and implement robust frameworks for real-time data
ingestion and processing to solve business-critical, low-latency use cases.
Hybrid Data Modelling Harmonize "old school" relational data warehousing patterns
(Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured modern
paradigms.
Technical Leadership Act as a core problem-solver for complex data bottlenecks,
provide technical governance, and mentor engineering teams on data best practices.
AI Integration Collaborate with Data Science and AI teams to architect data layers that
seamlessly support LLMs, Machine Learning pipelines, and advanced analytics
solutions.
We are seeking a highly seasoned Lead/Principal Data Architect with over a decade of
experience to design, build, and scale our next-generation data platform.
In this role, you will be
the mastermind behind our data strategy, bridging the gap between complex business
requirements and robust technical execution.
You will bring exceptional problem-solving abilities, deep expertise in Databricks and
Snowflake, and a proven track record of engineering high-throughput, real-time data pipelines.
Mandatory Skills -Databricks,Python,Scala,SQL,Snowflake,Structured Streaming,Apache
Architecture & Strategy End-to-end design of scalable, secure, and highly available
data architectures leveraging modern cloud data ecosystems (Databricks and
Snowflake).
Pipeline Engineering Architect, optimize, and oversee the deployment of reliable
streaming and batch data pipelines (ETL/ELT) to process complex, large-scale
datasets.
Cloud Architecture Architect and deploy scalable enterprise data platform
components natively within the AWS ecosystem, ensuring tight integration with core
security, IAM, and networking protocols.
API Ingestion & Orchestration Design and implement robust data ingestion
frameworks leveraging Databricks APIs and external REST/GraphQL APIs for
automated workflows, platform orchestration, and data delivery.
Real-time Processing Design and implement robust frameworks for real-time data
ingestion and processing to solve business-critical, low-latency use cases.
Hybrid Data Modelling Harmonize "old school" relational data warehousing patterns
(Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured modern
paradigms.
Technical Leadership Act as a core problem-solver for complex data bottlenecks,
provide technical governance, and mentor engineering teams on data best practices.
AI Integration Collaborate with Data Science and AI teams to architect data layers that
seamlessly support LLMs, Machine Learning pipelines, and advanced analytics
solutions.
We are seeking a highly seasoned Lead/Principal Data Architect with over a decade of
experience to design, build, and scale our next-generation data platform.
In this role, you will be
the mastermind behind our data strategy, bridging the gap between complex business
requirements and robust technical execution.
You will bring exceptional problem-solving abilities, deep expertise in Databricks and
Snowflake, and a proven track record of engineering high-throughput, real-time data pipelines.
Global provider of digital engineering and IT outsourcing services.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Onsite
Apply faster on company sites with our extension.