Enterprise Data Strategist

2 weeks ago

thoothukudi, India beBeeData Full time

Job Title:Data ArchitectDescription:We are seeking an accomplished Data Architect to drive the design and implementation of our enterprise data architecture strategy, ensuring seamless alignment with business goals and future growth objectives.This critical role will focus on architecting, designing, and implementing Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms.The ideal candidate will lead the modernization of our data platforms using cutting-edge technologies such as Snowflake, Databricks, Azure Data Factory (ADF), cloud storage, and related ecosystem services.You will be responsible for developing frameworks for data ingestion, transformation, orchestration, and automation (ETL/ELT), including real-time streaming ingestion pipelines.A key aspect of this role is establishing and enforcing data governance, metadata management, data cataloging, data lineage, and quality standards across the data ecosystem.You will collaborate closely with business stakeholders, analytics/BI teams, data engineers, and data scientists to understand requirements and deliver data solutions aligned with enterprise needs.The successful candidate will provide technical leadership, mentor data engineering teams, drive best practices, and ensure maintainability of the data platform.Familiarity with emerging data technologies and industry trends is essential; you will recommend and adopt improvements to continuously evolve the data platform.Required Skills & Experience:A minimum of 12–15 years of overall IT experience, with at least 8+ years in a Data Architect / senior data-platform architect role.Proven experience in 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.Benefits:Opportunity to work on large-scale data architecture projectsCollaborative and dynamic work environmentProfessional development and growth opportunitiesOthers:Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related fieldLocation: [Company Location]

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