Data Architecture Leadership Role

2 weeks ago

Gurgaon, Haryana, India beBeeCloud Full time ₹ 25,00,000 - ₹ 35,00,000

Job Title: Data Architect Leader

Job Description: As a Data & Analytics Architect, you will lead key data initiatives including cloud transformation, data governance, and AI projects. Your primary responsibilities include defining cloud architectures, guiding data science teams in model development, ensuring alignment with data architecture principles across complex solutions.

Main Responsibilities:

  • Create and govern architectural blueprints ensuring standards are met and promoting best practices for data integration and consumption.
  • Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI, and data science.
  • Guide the data science team in implementing data models and analytics models.
  • Serve as a data science architect delivering technology and architecture services to the data science community.
  • Ensure that application development teams are in alignment with data architecture principles standards strategies and target states.
  • Create maintain and govern architectural views and blueprints depicting the Business and IT landscape in its current transitional and future state.
  • Define and maintain standards for artifacts containing architectural content within the operating model.

Requirements:

  • Strong cloud data architecture knowledge preferably in Databricks.
  • Experience developing architecture strategies and plans to enable cloud data transformation MDM data governance and data science capabilities.
  • Ability to design reusable data architecture and best practices to support batch streaming ingestion efficient batch real-time and near real-time integration ETL integrating quality rules and structuring data for analytic consumption by end users.
  • Experience with big data technologies including Cloudera Spark Sqoop Hive HDFS Flume Storm and Kafka.
  • Knowledge of cloud data technologies such as Azure data factory Azure Data Fabric Azure storage Azure data lake storage Azure data bricks Azure AD Azure ML.

Benefits:

You will have the opportunity to work on cutting-edge data and analytics initiatives drive business growth and make a meaningful impact on our organization.

About Us:

We value creativity innovation and collaboration.

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