ТаиландSenior Data Architect (DataLake)
1 мес. назад
ТаиландSenior
data modelingdata governancestreamingdata migrationdata lineage
Lead architecture and data design for Data Lake/Lakehouse implementation projects.
Обязанности
- Designing the target Lakehouse architecture and end-to-end data flows.
- Defining data models, canonical structures and reusable data-product patterns .
- Designing scalable and reusable batch, CDC and streaming ingestion patterns .
- Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access .
- Assessing and aligning the solution with existing enterprise and regional architecture standards.
- Supporting source-to-target mapping, data migration and integration design.
- Providing technical leadership and guidance to Data Engineering teams throughout implementation.
- Supporting solution design reviews, testing, production readiness and BAU handover.
Требования
- 6+ years of experience in data architecture, data engineering, or related roles.
- Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture.
- Experience designing enterprise data platforms and data products, particularly within financial services or Asset Management company, would be highly advantageous.
- Experience in end-to-end ownership of the data architecture and shape a modern, reusable data platform that can scale across multiple business use cases.
Будет плюсом
- Experience in Asset Management company, fintech, or other regulated industries.
Условия
- Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
- A work culture focused on innovation and creating lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- An agile, diverse, entrepreneurial, inclusive, meritocratic culture
- Joining means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
- #LI-PW1 #LI-Hybrid
Другое
- , a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. ’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.
- As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project.