Chief Data Architecture Strategist

1 week ago

dindigul, India beBeeDataArchitect Full time

Enterprise Data Architect OpportunityWe are seeking a highly skilled and experienced Enterprise Data Architect to join our team. The successful candidate will be responsible for designing, implementing, and maintaining large-scale data architectures that meet the needs of our business.Key Responsibilities:Develop and execute a comprehensive data architecture strategy that aligns with business objectives and ensures data-driven decision making.Design and implement data lakes, data warehouses, and data lakehouses on cloud platforms, ensuring scalability, reliability, and performance.Lead the modernization of data platforms using emerging technologies such as Snowflake, Databricks, Azure Data Factory (ADF), and cloud-native storage services.Implement robust batch and streaming data pipelines using 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 & Experience: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.Education & Background:Bachelor'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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