Chief Data Engineer

2 days ago

bhavnagar, India beBeeDataEngineering Full time

Job TitleData Architect - Enterprise Data EngineeringOverviewWe are seeking a highly skilled and experienced Data Architect to lead the design and implementation of our enterprise data engineering solutions. The ideal candidate will have a strong technical background in data architecture, as well as excellent leadership and collaboration skills.Key ResponsibilitiesDefine and execute the enterprise data architecture strategy in alignment 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.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 servicesDeep 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.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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