Job Description – Senior Data Architect (MS Azure) (Consulting Role)
We are seeking a Senior Data Architect with 8+ years of experience in designing and implementing Microsoft Azure-based data platforms. The candidate must excel in data architecture, modeling, warehousing, and governance, ensuring performance, security, and compliance. This role involves consulting, pre-sales support, and mentoring, working with clients to develop scalable, high-impact data solutions. This role is based in India, with the expectation of traveling to Middle Eastern client locations as required.
Responsibilities
Data Architecture & Strategy
- Design scalable and secure Azure data platforms aligned with enterprise goals ; Establish data architecture standards, best practices, and governance frameworks.
- Lead cloud migration and hybrid/multi-cloud data solutions.
Data Modeling & Engineering
- Develop conceptual, logical, and physical data models for analytics and operational stores.
- Design real-time and batch data integration using Azure Data Factory, Synapse, and other tools.
- Ensure data quality and consistency across various structured and unstructured data sources.
Data Warehousing & Storage
- Architect and optimize data warehouses using Azure based solutions, Implement best practices for storage, partitioning, indexing, and retrieval.
- Ensure security and compliance across Azure data services.
Data Governance & Compliance
- Define and implement data governance policies, including lineage, metadata management, and quality frameworks. ; Ensure compliance with GDPR and/or other data privacy requirements in Data platform solutions.
Consulting & Pre-Sales Support
- Develop proposals, PoCs, and client demos showcasing Azure data capabilities.
- Simplify technical concepts for business stakeholders ; Lead client workshops on data strategy and solutions.
Team Mentorship & Thought Leadership
- Mentor junior team members and promote knowledge sharing.
- Stay updated on Azure advancements, trends, and emerging technologies & contribute through whitepapers, blogs, and industry presentations.
Qualifications
- Education & Experience
- Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
- 8+ years in data architecture and engineering with Azure expertise.
- Certified MS Azure Professional (Data Engineering Associate , and/or Azure Solutions Architect)
- Technical Expertise
- Proficient in Azure data services such as - Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake , SQL Database, Cosmos DB, Databricks, Azure Purview, Event Hubs, Stream Analytics, Kafka
- Experience of architecting solutions on MS Fabric (Optional)
- Strong knowledge of SQL, Python, Spark, and Databricks.
- Experience with data pipelines, ETL/ELT frameworks, and MLOps architectures.
- Familiarity with open-source tools such as Apache Spark, Airflow, and Presto (good to have)
- Consulting & Leadership Skills
- Strong stakeholder management and client engagement.
- Ability to create quick PoCs and data engineering prototypes, client demos, and solution architecture.
- Preferred Industry Experience: Prior experience in Data Platform implementation within at least one of the following sectors: Oil & Gas, Financial Services, Manufacturing, Healthcare, Real Estate , Tourism , Government/Citizen Services , Mobility , Energy & Utilities, Telecom