Data Architect

Bengaluru Urban - India

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Data & Analytics Architect you will lead key data initiatives including cloud transformation data governance

and AI projects. Youll define cloud architectures guide data science teams in model development and ensure

alignment with data architecture principles across complex solutions. Additionally you will create and govern

architectural blueprints ensuring standards are met and promoting best practices for data integration and

consumption.

Responsibilities:

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.

Define cloud reference architectures to promote reusable patterns and promote best practices for data

integration and consumption.

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.

In addition you will also guide application development teams in the data design of complex solutions in a

large data eco-system and ensure that teams are in alignment with the 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.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon

Requirements

Strong cloud data architecture knowledge (preference for Databricks)

Experience developing architecture strategies and plans to enable cloud data transformation MDM data

governance and data science capabilities.

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 uses.

Ability to lead software evaluations including RFP development capabilities assessment formal scoring models and delivery of executive presentations supporting a final recommendation.

Well versed in the Data domains (Data Warehousing Data Governance MDM Data Quality Data Standards Data Catalog Analytics BI Operational Data Store Metadata Unstructured Data non-traditional data and multi-media ETL ESB).

Experience with cloud data technologies such as Azure data factory Azure Data Fabric Azure storage Azure data lake storage Azure data bricks Azure AD Azure ML etc.

Experience with big data technologies such as Cloudera Spark Sqoop Hive HDFS Flume Storm and Kafka

Required Skills:

Qualifications:

As a Data & Analytics Architect you will lead key data initiatives including cloud transformation data governanceand AI projects. Youll define cloud architectures guide data science teams in model development and ensurealignment with data architecture principles across complex solutions. Additionall...