The Sr Data Architect is responsible for leading data governance, managing data quality, and designing data architecture using modern paradigms on AWS. Requires extensive experience and expertise in data modeling and engineering.
- Bachelor’s or master’s degree in computer science, Information Systems, or related field.
- 18+ years of experience in data, with at least 8 years as an Enterprise Data Architect.
- Expertise in data governance, metadata management, and data quality frameworks
- Expertise in data privacy, and data lifecycle management policies
- Solid understanding of conceptual, logical, and physical data models
- Experience with AWS platform and data services
- Proficient in modern data architecture paradigms such as data lakehouse, data mesh, Data Integration Hub, Data Fabric
- Expertise in Lambda and Kappa Architecture
- Proficient in SQL and Python
- Hands on experience of creating, and modeling data warehouses
- Hand on experience of data engineering methods such as ETL and ELT
- In-depth understanding of feature store and associated pipelines
- Overarching knowledge of AI, and how to leverage it for IT and business benefits
- Strong communication and stakeholder engagement skills.
- Should be able to work independently and as a team player
- Should have experience of working in a geo-diverse team of high performers
- Should be able to interact, influence, and guide IT and business leaders.
- Good to have Skills -
- Experience in creating / modeling Reporting semantic layers
- Hands on experience with any reporting tool (PowerBI preferred)
- Data Integration and transformation on Confluent Cloud
- Certifications in architecture or governance (e.g., DAMA, TOGAF, CDMP)
- AWS certified Solution Architect
- Understanding of MS Fabric
NA
Qualifications- Bachelor’s or master’s degree in computer science, Information Systems, or related field.
18+ years of experience in data, with at least 8 years as an Enterprise Data Architect.
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We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Top Skills
AWS
Confluent Cloud
Data Fabric
Data Governance
Data Integration Hub
Data Lakehouse
Data Lifecycle Management
Data Mesh
Data Privacy
Elt
ETL
Kappa Architecture
Lambda Architecture
Metadata Management
Ms Fabric
Power BI
Python
SQL
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