Senior Data Architect
Role details
Job location
Tech stack
Job description
We are looking for an experienced Data Solution Architect with deep expertise in Microsoft Azure data services and cloud-native architecture. This role is ideal for someone who thrives at the intersection of strategy and delivery - designing modern, scalable, and secure Azure data platforms that empower organizations to unlock business value through data.
As a key technical leader, you will define cloud data strategies, architect end-to-end Azure data solutions, and guide engineering teams through delivery. This is a client-facing role, where you'll influence stakeholders, contribute to pre-sales, and ensure solutions adhere to Azure best practices, governance frameworks, and enterprise standards., * Architect and design end-to-end Azure data platforms, including ingestion, storage, transformation, analytics, and visualization layers.
- Build solutions leveraging Azure Data Lake, Synapse Analytics, Data Factory, Databricks, Event Hubs, Stream Analytics, Power BI, and related services.
- Translate complex business requirements into scalable, cost-efficient, and maintainable Azure data architectures.
- Create and present high-level and low-level architecture designs, ensuring clarity across technical and business teams.
- Collaborate closely with data engineers, cloud engineers, and solution architects to ensure seamless implementation of designed solutions.
- Establish and enforce Azure architecture standards, reusable frameworks, and data engineering best practices.
- Evaluate and adopt new Azure tools, frameworks, and services to enhance the data ecosystem.
- Support pre-sales engagements - developing solution proposals, architecture blueprints, and estimations for client opportunities.
- Partner with senior stakeholders and C-level executives to define cloud data strategies and modernization roadmaps.
- Ensure security, compliance, and governance are embedded across all Azure data solutions.
- Provide technical leadership and mentorship to data engineering teams, promoting continuous improvement and innovation.
Requirements
- Proven experience as a Data Solution Architect or Data Platform Architect with a primary focus on Azure.
- Hands-on expertise with Azure Data Factory, Synapse Analytics, Data Lake Storage (Gen2), Databricks, Power BI, Event Hubs, and Functions.
- Strong background in data modeling, data warehousing, and real-time/batch data processing.
- Experience implementing data integration pipelines, ETL/ELT workflows, and data transformation frameworks on Azure.
- Knowledge of Azure security and identity management (RBAC, Key Vault, Managed Identities, networking, and encryption).
- Familiarity with cost optimization techniques and Azure monitoring tools (e.g., Log Analytics, Azure Monitor).
- Understanding of DevOps and CI/CD practices using Azure DevOps or GitHub Actions for data pipeline deployment.
- Excellent communication and stakeholder management skills, capable of articulating technical concepts to non-technical audiences.
- Strong analytical mindset with proven problem-solving ability.
- Experience working in agile delivery environments., * Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate certifications.
- Experience with data governance, lineage, and compliance frameworks (e.g., Purview, GDPR).
- Knowledge of Power BI administration and data visualization best practices.
- Exposure to hybrid or multi-cloud environments (advantageous but not essential).
- Experience mentoring junior architects and engineers.