Azure Architect
- Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
At ValueMomentum’s Engineering Centre, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise. Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
Requirements:
- Should have 15+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
- Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
- Experience with Databricks, PySpark, and modern data platforms.
- Proficiency in cloud-native architecture and data governance.
- Strong experience in migrating from on premises to cloud solutions (Spark, Hadoop to Databricks).
- Understanding of Agile/Scrum methodologies.
- Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
- Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
- Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques
- Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.
Responsibilities:
- Develop modern data solutions and architecture for cloud-native data platforms.
- Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.
- Lead data strategy sessions focused on scalability, performance, and flexibility.
- Build CI/CD pipelines for Databricks in Azure DevOps.
- Collaborate with customers to implement solutions for data modernization.
- Create training plans and learning materials to upskill VM associates.
- Develop industry-specific and domain-oriented solutions for customer data needs.
- Build a smart operations framework for DataOps and MLOps.
About ValueMomentum:
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry, supported by deep domain and technology capabilities. We help insurers stay ahead with sustained growth and high performance for enhancing stakeholder value and fostering resilient societies. Trusted by over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on property and casualty. ValueMomentum is headquartered in Piscataway, NJ, with state-of-the-art delivery centres in Piscataway, NJ; Hyderabad, Pune, and Coimbatore in India; Toronto in Canada; and London in the United Kingdom.
ValueMomentum is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We make all employment decisions based on qualifications, merit, and business needs, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are also committed to providing reasonable accommodation for qualified individuals with disabilities and applicants throughout the recruitment process, in accordance with applicable laws.
More about this job
Responsibilities
Design and deliver cloud-native data solutions using Azure and Databricks, including cost-effective infrastructure, workflow orchestration, and CI/CD pipelines. Lead data strategy and modernization with customers, develop industry-specific solutions, and create training and DataOps/MLOps frameworks.
Requirements
Requires 15+ years of experience, including the last four years implementing end-to-end cloud-native data solutions, with strong Azure, Databricks, and PySpark expertise. Candidates should also have experience with on-premises-to-cloud migrations, data governance and warehousing, data processing technologies, and Agile/Scrum delivery.
Skills
- Azure
- Databricks
- PySpark
- Data Engineering
- Cloud-Native Architecture
- Data Governance
- Data Warehousing
- Data Modernization
- ETL
- Kafka
- Data Mesh
- Data Products
- Azure Data Factory
- Azure DevOps
- CI/CD
- Agile/Scrum
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- Azure
- Databricks
- PySpark
- Modern Data Platforms
- Cloud-Native Data Solutions
- Data Engineering
- Data Governance
- Modern Data Warehouse
- Business Intelligence
- Insights and Analytics
- Spark
- Hadoop
- Azure Data Factory
- Azure DevOps
- CI/CD Pipelines
- ETL
- ELT
- Kafka
- Data Mesh
- Data Products
- DataOps
- MLOps
- Cloud-Native Databases
- Columnar Database Architectures
- Agile
- Scrum
- Property and Casualty Insurance