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Ensure the quality of software implementation and the safety, performance and reliability of integrated software and hardware by active participation in architecture, design and code reviews, unit testing, software debugging, system troubleshooting and overall resolution.
Solution Architect - Data Engineering
Whom are we looking for:
We are looking for a seasoned Data Engineer with deep expertise in building and optimizing ETL pipelines, who understands the intricacies of data movement, transformation, and orchestration. The ideal candidate is highly proficient in data modelling techniques such as dimensional modelling and Data Vault, with a strong foundation in designing scalable and efficient data architectures. This role is perfect for someone who has demonstrated problem-solving abilities, a system-wide perspective on data flows, and a strong aspiration to transition into a Data Architect role
Responsibility
Define data architecture standards, principles, and guidelines.
Responsible for defining and designing solution for Multi-Tenant Cloud Native Data Platform and data product.
You will be hands on and work closely to guide a team of Data Engineers in the associated data maintenance, integrations, enhancements, ETL processes
Work closely with other stakeholders like Product Managers, Engineering Managers, Solution Architects, etc.
Own and drive the evaluation of data management technologies and lead the implementation with a high bar of performance, scalability, and availability standards.
Create and implement data models, design databases, and ensure data security and availability.
Design and optimize the systems for speed, efficiency, and reliability
Ensure data security and privacy compliance with relevant regulations and standards
Implement security measures to protect sensitive data from breaches and unauthorized access
Provide technical guidance and mentorship to junior data engineers and developers
Required Skills / Experience
8+ Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem
Data modelling experience - relational and dimensional with consumption requirements (reporting, dashboarding, and analytics)
Able to apply technical knowledge to architect and design solutions that meet business needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of Data Products
Experience using and developing with ETL tools like Azure Data Factory, SSIS, Databricks/Spark etc.
Handson experience in using Snowflake
Well versed with BI tools like PowerBI.
Effective communication and collaboration skills to work with both technical and non-technical stakeholders.
Flexible to work with global offices across several time zones.
Outstanding problem-solving skills and the ability to navigate complex data challenges
Nice to have Skills / Experience
Familiar in Java/.net, Scala, or Python technologies and deliver analytics
Experience integrating AI with Data Products
Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric
Experience in anonymizing data, data product development, analytical models, and AI governance.
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