Datamatics | Enterprise Data Architect | bangalore
1 week ago
Data Architect will bring a wealth of expertise in digital engineering, application modernization & data/AI to the table. The core responsibilities include consulting, contributing to business acquisition through solutioning, and spearheading the architectural & design aspects of the execution of client engagements. This leader will be instrumental in driving the digital transformation & modernization journeys, leveraging the latest technologies and innovative strategies. Reporting to President of Digital Technologies.
Key Responsibilities
- Data architect would be responsible for end-to-end data engineering and analytics solutions, encompassing data handling, technology infrastructure, and modeling.
- Lead the design and development of Data solutions tailored to specific business objectives.
- Develop and implement data augmentation pipelines to enhance model training and performance.
- Collaborate closely with the technology team to plan, execute, and manage Data Engineering Product-based projects, while contributing to best practices.
- Design, implement, and support the creation and integration of APIs, models, and data pipelines.
- Must have worked on Data Warehouse and ETL Technologies for at least 6 yrs.
- Must know Etl azure data factory, Informatica, Aws glue or similar ETL platform
- Must have working experience on Azure on services like Azure DB, Azure Data Factory v2, Databricks or Snowflake, or Talend, for at least 1-2 yrs
- Migrations from on premise to cloud
- Data security including annoymyzation Protegrity
Technical Experience
• Hands-on experience in design and implementation of Data Warehousing solutions
• Have built at least two Enterprise Data Warehouses from scratch
• Knowledge on Microsoft Azure SQL Database / Data Warehouse / Synapse
• Hands-on experience on ETL Tools in Talend Data Studio
• Experience of using Azure Data Factory (ADF)
• Knowledge & Experience of Data Migration
• Data exploration and analysis
• Fair Knowledge on Data Governance best practices, Master Data Management Designing Skills
• Must have hands-on experience of relational and dimensional modelling
• In depth knowledge on at least one designing / modelling tools such as ERwin, ER Studio, Power Designer, etc.
• Must have experience in understanding business vision to prepare ETL solution architecture
• Well experienced in designing ETL/ELT approaches while authoring the data flows
• Identifying solutions to key technical challenges in projects concerning data warehousing and business intelligence
Qualifications & Desired Skills
Experience: 15+ Years
Education: Bachelor’s / Master’s degree - Computer Science, Engineering, or a related field.
Job Location -Mumbai & Bangalore
Competencies
• Must have very good oral and written communication skills
• Must have experience in presenting technical topics to large audiences
• Should have working experience with offshore team
• Exposure to conducting maturity assessments of existing data warehousing / ETL solutions
• Fair knowledge on scripting languages such as Shell Scripts, PowerShell, Perl, Python, Scala etc. Research Skills Need to be proactive towards research, POC implementation, comparing alternative components and preparing reports on the same.
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bangalore, India Datamatics Full timeData Architect will bring a wealth of expertise in digital engineering, application modernization & data/AI to the table. The core responsibilities include consulting, contributing to business acquisition through solutioning, and spearheading the architectural & design aspects of the execution of client engagements. This leader will be instrumental in...
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bangalore, India Datamatics Full timeData Architect will bring a wealth of expertise in digital engineering, application modernization & data/AI to the table. The core responsibilities include consulting, contributing to business acquisition through solutioning, and spearheading the architectural & design aspects of the execution of client engagements. This leader will be instrumental in...
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