Data Architect

12 - 15 years

30 - 35 Lacs

kochi

Posted:-1 days ago| Platform:

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Skills Required

data modeling analytical consulting machine learning business intelligence analytics sql python data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Title Data Architect Rank Assistant Director

Type of Employment Permanent

Overall Years of Experience 12-15 years Relevant Years of Experience 10+

Requisition Date Resource On-board Date

Data Architect

Data Architect is responsible for designing and implementing data architecture for multiple projects and also build strategies for data governance

Position Summary

12 - 15 yrs of experience in a similar profile with strong service delivery background
Experience as a Data Architect with a focus on Spark and Data Lake technologies.
Experience in Azure Synapse Analytics
Proficiency in Apache Spark for large-scale data processing.
Expertise in Databricks, Delta Lake, Azure data factory, and other cloud-based data services.
Strong understanding of data modeling, ETL processes, and data warehousing principles.
Implement a data governance framework with Unity Catalog .
Knowledge in designing scalable streaming data pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming
Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro.
Hands on Experience in python and relevant libraries such as pyspark, numpy etc
Knowledge of Machine Learning pipelines, GenAI, LLM will be plus
Excellent analytical, problem-solving, and technical leadership skills.
Experience in integration with business intelligence tools such as Power BI
Effective communication and collaboration abilities
Excellent interpersonal skills and a collaborative management style
Own and delegate responsibilities effectively
Ability to analyse and suggest solutions
Strong command on verbal and written English language

Roles and

Essential

Work as a Data Architect and able to design and implement data architecture for projects having complex data such as Big Data, Data lakes etc
Work with the customers to define strategy for data architecture and data governance
Guide the team to implement solutions around data engineering
Proactively identify risks and communicate to stakeholders. Develop strategies to mitigate risks
Build best practices to enable faster service delivery
Build reusable components to reduce cost
Build scalable and cost effective architecture

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