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 backgroun
- Experience as a Data Architect with a focus on Spark and Data Lake technologies.
- 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 Responsibilities
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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