Summary
We are looking for a visionary Data Architect to lead the design and implementation of scalable secure and intelligent data platforms. You will play a critical role in shaping our data strategy enabling advanced analytics and driving innovation through modern data architecture principles.
Key Responsibilities
- Design and evolve enterprise-wide data architecture aligned with business goals.
- Build and maintain data lakes data warehouses and real-time streaming pipelines.
- Develop and enforce data governance data quality and metadata management frameworks.
- Collaborate with engineering analytics and business teams to define data models APIs and data contracts.
- Architect solutions using cloud-native services (AWS Azure GCP) and serverless technologies.
- Implement data mesh data fabric or lakehouse architectures as needed.
- Ensure compliance with data privacy regulations (PCI DSS GDPR).
- Optimize data lineage observability and cost efficiency across platforms.
Required Skills & Experience
- 6 years in data architecture data engineering or related roles.
- Proficiency in SQL Python and distributed data systems (e.g. Spark Kafka Flink).
- Hands-on experience with cloud data platforms: Snowflake BigQuery Redshift Databricks.
- Strong knowledge of ETL/ELT pipelines data orchestration (Airflow dbt Prefect).
- Familiarity with data cataloging tools (e.g. Alation Collibra Amundsen).
- Experience with CI/CD IaC (Terraform CloudFormation) and DevOps for data.
- Understanding of AI/ML data pipelines and feature stores (e.g. Feast Tecton).
Preferred Qualifications
- Certifications in AWS Azure or GCP (e.g. AWS Certified Data Analytics).
- Experience implementing data mesh or domain-oriented data ownership.
- Exposure to data security frameworks zero trust architecture and RBAC/ABAC models.
- Knowledge of graph databases semantic layers or knowledge graphs.
- Knowledge of security and compliance frameworks relevant to Fintech(PCI DSS SOC2 GDPR)
Summary We are looking for a visionary Data Architect to lead the design and implementation of scalable secure and intelligent data platforms. You will play a critical role in shaping our data strategy enabling advanced analytics and driving innovation through modern data architecture principles. ...
Summary
We are looking for a visionary Data Architect to lead the design and implementation of scalable secure and intelligent data platforms. You will play a critical role in shaping our data strategy enabling advanced analytics and driving innovation through modern data architecture principles.
Key Responsibilities
- Design and evolve enterprise-wide data architecture aligned with business goals.
- Build and maintain data lakes data warehouses and real-time streaming pipelines.
- Develop and enforce data governance data quality and metadata management frameworks.
- Collaborate with engineering analytics and business teams to define data models APIs and data contracts.
- Architect solutions using cloud-native services (AWS Azure GCP) and serverless technologies.
- Implement data mesh data fabric or lakehouse architectures as needed.
- Ensure compliance with data privacy regulations (PCI DSS GDPR).
- Optimize data lineage observability and cost efficiency across platforms.
Required Skills & Experience
- 6 years in data architecture data engineering or related roles.
- Proficiency in SQL Python and distributed data systems (e.g. Spark Kafka Flink).
- Hands-on experience with cloud data platforms: Snowflake BigQuery Redshift Databricks.
- Strong knowledge of ETL/ELT pipelines data orchestration (Airflow dbt Prefect).
- Familiarity with data cataloging tools (e.g. Alation Collibra Amundsen).
- Experience with CI/CD IaC (Terraform CloudFormation) and DevOps for data.
- Understanding of AI/ML data pipelines and feature stores (e.g. Feast Tecton).
Preferred Qualifications
- Certifications in AWS Azure or GCP (e.g. AWS Certified Data Analytics).
- Experience implementing data mesh or domain-oriented data ownership.
- Exposure to data security frameworks zero trust architecture and RBAC/ABAC models.
- Knowledge of graph databases semantic layers or knowledge graphs.
- Knowledge of security and compliance frameworks relevant to Fintech(PCI DSS SOC2 GDPR)
View more
View less