Enterprise Data Architecture Specialist

1 week ago

ahmedabad, India beBeeDataArchitecture Full time

Data Architecture SpecialistAbout the Role:We are seeking a highly skilled Data Architecture Specialist to design and implement our enterprise data architecture strategy.The ideal candidate will have extensive experience in architecting and implementing Data Lakes, Data Warehouses, and Data Lakehouses at scale. They will be proficient in technologies such as Snowflake, Databricks, Azure Data Factory, and cloud-native storage services.The selected individual will lead modernization of data platforms, develop robust batch and streaming data pipelines using Apache Spark, and establish data governance standards across the ecosystem.Key Responsibilities:Design and implement Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms.Lead modernization of data platforms using technologies such as Snowflake, Databricks, Azure Data Factory (ADF), cloud storage, and related ecosystem services.Develop frameworks for data ingestion, transformation, orchestration, and automation (ETL/ELT), including real-time streaming ingestion pipelines.Establish and enforce data governance, metadata management, data cataloging, data lineage and quality standards across the data ecosystem.Collaborate with business stakeholders, analytics/BI teams, data engineers, and data scientists to understand requirements and deliver data solutions aligned with enterprise needs.Provide technical leadership, mentor data engineering teams, drive best practices, and ensure maintainability of the data platform.Keep abreast of emerging data technologies and industry trends; recommend and adopt improvements to continuously evolve the data platform.Requirements:We are looking for candidates with:A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.12–15 years of overall IT experience, with at least 8+ years in a Data Architect / senior data-platform architect role.Strong hands-on expertise with Snowflake (preferred), Databricks, Azure Data Factory, cloud-native storage and services.Deep proficiency in Apache Spark (batch and streaming), data ingestion frameworks, ETL/ELT workflows, and orchestration.Programming skills in Python for data engineering, automation, custom transformations, and scripting.Excellent communication, stakeholder management, cross-functional collaboration, and leadership skills.Benefits:The successful candidate will enjoy:Opportunities for professional growth and development.A dynamic and collaborative work environment.Competitive compensation and benefits package.Please submit your application, highlighting your relevant experience and qualifications.

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