Senior Data Architect

As a skilled Data Architect, you will tackle intricate data challenges from various structured and unstructured sources. Your expertise in crafting micro data lakes and spearheading data strategies at an enterprise level will be crucial for this role. You will design and construct tailored micro data lakes specifically catered to the lending domain, defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your responsibilities will include architecting robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from diverse sources like APIs, PDFs, logs, and databases. You will establish best practices related to data quality, metadata management, and data lifecycle control, and collaborate with engineering and product teams to align data architecture with overarching business objectives. - Design and construct tailored micro data lakes for the lending domain - Define and execute enterprise data strategies encompassing modeling, lineage, and governance - Architect robust data pipelines for batch and real-time data ingestion - Devise strategies for extracting, transforming, and storing data from diverse sources - Establish best practices related to data quality, metadata management, and data lifecycle control - Collaborate with engineering and product teams to align data architecture with business objectives - Over 10 years of experience in data architecture and engineering - Deep understanding of both structured and unstructured data ecosystems - Practical experience in ETL, ELT, stream processing, querying, and data modeling - Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python - Expertise in cloud-native data platforms like AWS, Azure, or GCP - Solid foundation in data governance, privacy, and compliance standards (Note: Additional details of the company were not provided in the job description.) As a skilled Data Architect, you will tackle intricate data challenges from various structured and unstructured sources. Your expertise in crafting micro data lakes and spearheading data strategies at an enterprise level will be crucial for this role. You will design and construct tailored micro data lakes specifically catered to the lending domain, defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your responsibilities will include architecting robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from diverse sources like APIs, PDFs, logs, and databases. You will establish best practices related to data quality, metadata management, and data lifecycle control, and collaborate with engineering and product teams to align data architecture with overarching business objectives. - Design and construct tailored micro data lakes for the lending domain - Define and execute enterprise data strategies encompassing modeling, lineage, and governance - Architect robust data pipelines for batch and real-time data ingestion - Devise strategies for extracting, transforming, and storing data from diverse sources - Establish best practices related to data quality, metadata management, and data lifecycle control - Collaborate with engineering and product teams to align data architecture with business objectives - Over 10 years of experience in data architecture and engineering - Deep understanding of both structured and unstructured data ecosystems - Practical experience in ETL, ELT, stream processing, querying, and data modeling - Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python - Expertise in cloud-native data platforms like AWS, Azure, or GCP - Solid foundation in data governance, privacy, and compliance standards (Note: Additional details of the company were not provided in the job description.)