Senior Enterprise Data Strategist

22 hours ago

Gandhinagar, India beBeeData Full time

Enterprise Data ArchitectWe are seeking a seasoned Data Architect to join our organization. The ideal candidate will have extensive experience in designing and implementing large-scale data architecture solutions that drive business growth and transformation.The successful Data Architect will be responsible for architecting, designing, and implementing Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms to support our enterprise data strategy.They will lead the modernization of our data platforms using technologies such as Snowflake, Databricks, Azure Data Factory (ADF), cloud storage, and related ecosystem services.The Data Architect will design and implement robust batch and streaming data pipelines using frameworks such as Apache Spark, ensuring scalability, reliability, performance, and data integrity.They will develop frameworks for data ingestion, transformation, orchestration, and automation (ETL/ELT), including real-time streaming ingestion pipelines.The successful Data Architect will establish and enforce data governance, metadata management, data cataloging, data lineage, and quality standards across the data ecosystem.They will collaborate with business stakeholders, analytics/BI teams, data engineers, and data scientists to understand requirements and deliver data solutions aligned with enterprise needs.The Data Architect will provide technical leadership, mentor data engineering teams, drive best practices, and ensure maintainability of the data platform.They will stay up-to-date with emerging data technologies and industry trends, recommending and adopting improvements to continuously evolve the data platform.Requirements12–15 years of overall IT experience, with at least 8+ years in a Data Architect / senior data-platform architect role.Proven experience architecting and implementing Data Lakes, Data Warehouses, and Data Lakehouses at enterprise scale.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.Strong knowledge of data modeling, schema design (logical and physical), relational and/or non-relational data stores, query optimization, and performance tuning.Experience with real-time streaming and event-driven data frameworks (e.g., message queues, event hubs, streaming ingestion).Solid understanding of cloud-native data ecosystem (preferably Azure, but AWS or GCP experience also relevant).Experience establishing and enforcing data governance, data cataloging, metadata management, security, and compliance best practices.Excellent communication, stakeholder management, cross-functional collaboration, and leadership skills.Education & BackgroundBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.Proven track record of designing and delivering large-scale data architecture solutions in enterprise environments.

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