Job Description
Role - Data Architect
Years of Experience - 15 to 22 years
Location - Pan India
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
Years of Experience - 15 to 22 years
Location - Pan India
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
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