Chief Data Platform Strategist

4 days ago

ghaziabad, India beBeeData Full time

We are seeking a visionary Enterprise Data Architecture Leader to drive the strategic development of our data platforms and ensure seamless integration with business objectives.Key Responsibilities:Create and execute a comprehensive data architecture strategy that aligns with organizational growth initiatives.Design, build, and implement scalable data lakes, warehouses, and lakehouses on cloud-based platforms.Leverage technologies such as Snowflake, Databricks, Azure Data Factory, and cloud-native storage services to modernize our data ecosystems.Develop robust batch and streaming data pipelines using Apache Spark, ensuring high performance, reliability, and data integrity.Establish frameworks for data ingestion, transformation, orchestration, and automation (ETL/ELT), including real-time streaming ingestion pipelines.Promote data governance, metadata management, data cataloging, data lineage, and quality standards across the data ecosystem.Collaborate with stakeholders, analytics teams, data engineers, and scientists to deliver data solutions aligned with enterprise needs.Provide technical leadership, mentor data engineering teams, and drive best practices to maintain the data platform.Stay abreast of emerging data technologies and industry trends, recommending improvements to continuously evolve the data platform.Required Skills & Qualifications12–15 years of overall IT experience, with at least 8+ years in a senior data architecture or data-platform architect role.Proven experience architecting and implementing data lakes, warehouses, and lakehouses at an enterprise scale.Strong hands-on expertise with Snowflake, Databricks, Azure Data Factory, cloud-native storage 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.Solid understanding of cloud-native data ecosystems.Experience establishing data governance, data cataloging, metadata management, security, and compliance best practices.Excellent communication, stakeholder management, cross-functional collaboration, and leadership skills.BenefitsWe offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.OthersPlease submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you

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