Data Architect

Role -

Years of Experience -

Location -

• 15+ years of overall experience in architecting and building data and analytics solutions
• Proven hands-on experience in architecting and implementing solutions using leading cloud data platforms like Databricks, Snowflake, Microsoft Fabric etc.
• Strong background in designing and implementing ETL/ELT processes, data lakes, and data warehouses
• Strong knowledge and experience in building data quality and metadata management solutions.
• Experience with one or more major cloud platforms (Azure, AWS, GCP), with a preference for Azure and its data services ecosystem
• Familiarity with Spark, Hadoop, and streaming data technologies
• Familiarity with CI/CD pipelines, automation, and infrastructure-as-code
• Experienced in working in a customer-facing role
• Certifications in Databricks, Snowflake, Microsoft are preferred

• Responsibility

• Design, build, and maintain scalable, secure, and high-performance data architectures on cloud platforms such as Databricks, Snowflake, and Microsoft Fabric
• Lead migration and modernization of legacy data systems
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into robust data solutions
• Establish and enforce data governance, quality, and security standards across the cloud data ecosystem
• Evaluate emerging technologies and recommend best-fit solutions to enhance the organization’s data capabilities
• Document data architecture designs, workflows, and standards for technical and non-technical audiences
• Mentor and guide junior team members on best practices and new technologies in the cloud data space
• Stay current with industry trends, certifications, and advancements in cloud data platforms and analytics