Data Architect

We have an urgent role with a Global Group valued at US$10 Billion at Vadodara.

Role : Data Architect

Purpose of the Job

- As an Architect you will be required to create scalable big data solutions utilizing on-prem and in cloud technologies, define development roadmaps facilitating key data lake enabled initiatives (i.e. operational, analytical, advanced analytics etc.)

- The Architect has great technical skills, believes in a non-hierarchical culture of collaboration, transparency, safety, and trust.

- Working with a focus on value creation, growth and serving customers with full ownership and accountability.

- Delivering exceptional customer and business results

- Coordinate with key business and technology stakeholders to translate business objectives to deliverable solutions

- Ensure best practice data security standards are followed

- Coach and mentor data lake development team members on technology and architecture

- Create prioritized roadmap for platform development and create user stories for platform/data engineers to implement Communicate effectively with both technical and non-technical colleagues to enable understanding of data platform technologies

- Help define standards for technical and operational metadata, data administration and data lineage tracking

- Design solutions for data governance requirements

- Maintain conceptual and logical data architecture for all data types

- Build processes for Data Life Cycle management

Responsibilities :

Skills and Abilities :

- Work experience: ~8+ years of relevant technical experience with exposure to handling large volumes of enterprise/domain-specific structured data

- 5+ years experience as Data Engineer in distributed software platforms in Hadoop ecosystem (i.e. Hive, Kafka, Spark, etc.) and / or cloud computing services (preferably Azure)

- 3+ years of technical leadership roles on production software (i.e. apps, enterprise software, BI, dashboards, AA/ML models, etc.)

Skills & Competencies required :

- Solid understanding of best practices in security architecture, data governance, data modellings, ETL and data architecture design

- Proficiency in core relational and nonrelational database solutions (i.e. Oracle, SQL Server, MongoDB, HDFS, etc.)

- Expert in at least one core programming language (i.e. Java, Python, Scala, R etc.), preferably Python & R

- Strong written and oral communication

Education: Bachelors or Masters in Computer Science or Engineering

Functional Knowledge :

- Azure

- Spark

- RDBMS (Oracle, SQL Server)

- Python

- SQL, EDW & DWH,

- Data Visualization

- Scrum

- Modelling, APIs &

- platform sizing

- Agile development

Ved
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