Chief Data Strategy Officer

2 days ago

mangalore, India beBeeData Full time

Enterprise Data ArchitectJob DescriptionWe are seeking a highly experienced and skilled Enterprise Data Architect to lead the design and implementation of our data architecture strategy. The successful candidate will be responsible for defining, executing, and aligning the enterprise data architecture with business goals and future growth needs.Architect, 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.Design and implement robust batch and streaming data pipelines using frameworks such as 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.Required Skills & QualificationsThe ideal candidate will possess a strong technical background and relevant experience in data architecture, with at least 8+ years in a senior data-platform architect role. Key qualifications include: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.BenefitsThe successful candidate will enjoy a competitive compensation package, opportunities for professional growth and development, and a collaborative work environment.OthersOur company values innovation, creativity, and teamwork. We strive to create a workplace that is inclusive, diverse, and supportive of our employees' well-being.

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