Chief Data Infrastructure Strategist

1 week ago

meerut, India beBeeDataArchitect Full time

Data Architect PositionKey Responsibilities:Develop and execute a comprehensive data architecture strategy aligned with business objectives and future growth requirements.Design, implement, and manage Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms.Lead the modernization of data platforms using technologies such as Snowflake, Databricks, Azure Data Factory (ADF), cloud storage, and related ecosystem services.Create robust batch and streaming data pipelines using frameworks like Apache Spark, ensuring scalability, reliability, performance, and data integrity.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.Stay up-to-date with emerging data technologies and industry trends; recommend and adopt improvements to continuously evolve the data platform.Required Skills & ExperienceWe are seeking a highly experienced Data Architect with:12–15 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 & BackgroundCandidates should hold a Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.A proven track record of designing and delivering large-scale data architecture solutions in enterprise environments is required.

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