Lead Enterprise Data Strategist

12 hours ago

india beBeeData Architect Full time

Enterprise Data Architect PositionWe are seeking a skilled Enterprise Data Architect to join our team. The successful candidate will define and execute the enterprise data architecture strategy in alignment with business goals and future growth needs.Main Responsibilities:Data Architecture Strategy: Define and execute the enterprise data architecture strategy, ensuring alignment with business goals and future growth needs.Data Platform Development: Architect, design, and implement Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms like Snowflake, Databricks, and Azure Data Factory (ADF).Modernization: Lead modernization of data platforms using technologies such as cloud storage and related ecosystem services.Data Pipelines: Design and implement robust batch and streaming data pipelines using frameworks such as Apache Spark, ensuring scalability, reliability, performance, and data integrity.Data Ingestion and Transformation: Develop frameworks for data ingestion, transformation, orchestration, and automation (ETL/ELT), including real-time streaming ingestion pipelines.Data Governance: Establish and enforce data governance, metadata management, data cataloging, data lineage and quality standards across the data ecosystem.Collaboration: Collaborate with business stakeholders, analytics/BI teams, data engineers, and data scientists to understand requirements and deliver data solutions aligned with enterprise needs.Leadership: Provide technical leadership, mentor data engineering teams, drive best practices, and ensure maintainability of the data platform.Tech Advancement: Keep abreast of emerging data technologies and industry trends; recommend and adopt improvements to continuously evolve the data platform.Required Skills:The ideal candidate will possess the following skills:Strong understanding of data architecture principles and practices.Experience with cloud-based data platforms, including Snowflake, Databricks, and Azure Data Factory (ADF).Knowledge of data pipeline development using Apache Spark.Skills in data ingestion, transformation, and orchestration using ETL/ELT frameworks.Familiarity with data governance, metadata management, and data cataloging.Ability to collaborate with cross-functional teams and drive best practices.What We Offer:As a member of our team, you can expect:A dynamic and supportive work environment.Opportunities for professional growth and development.A competitive compensation package.A comprehensive benefits program.Please submit your application, including your resume and a cover letter outlining your experience and qualifications for this role.

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