3 Amundsen Jobs

Are you a skilled Data Architect with a passion for tackling intricate data challenges from various structured and unstructured sources Do you excel in crafting micro data lakes and spearheading data strategies at an enterprise level If this sounds like you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specifically catered to the lending domain. Your tasks will include defining and executing enterprise data strategies encompassing modeling, lineage, and governance. You will play a crucial role in 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. Furthermore, you will be instrumental in establishing best practices related to data quality, metadata management, and data lifecycle control. Your hands-on involvement in implementing processes, strategies, and tools will be pivotal in creating innovative products. Collaboration with engineering and product teams to align data architecture with overarching business objectives will be a key aspect of your role. To excel in this position, you should bring to the table over 10 years of experience in data architecture and engineering. A deep understanding of both structured and unstructured data ecosystems is essential, along with 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 is a must. Additionally, expertise in cloud-native data platforms like AWS, Azure, or GCP is highly desirable, along with a solid foundation in data governance, privacy, and compliance standards. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. This role offers you the chance to lead data-first transformation, develop products that drive AI adoption, and the autonomy to design, build, and scale modern data architecture. You will be part of a forward-thinking, collaborative, and tech-driven culture with access to cutting-edge tools and technologies in the data ecosystem. If you are ready to shape the future of data with us, we encourage you to apply for this exciting opportunity based in Chennai. Join us in redefining data architecture and driving innovation in the realm of structured and unstructured data sources.,

Are you a hands-on Data Architect who excels at tackling intricate data challenges within structured and unstructured sources Are you passionate about crafting micro data lakes and spearheading enterprise-wide data strategies If this resonates with you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specific to the lending domain. Additionally, you will play a key role in defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your tasks will involve architecting and implementing robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from various sources such as APIs, PDFs, logs, and databases. Establishing best practices for data quality, metadata management, and data lifecycle control will also be part of your core responsibilities. Collaboration with engineering and product teams to align data architecture with business objectives will be crucial, as well as evaluating and integrating modern data platforms and tools like Databricks, Spark, Kafka, Snowflake, AWS, GCP, and Azure. Furthermore, you will mentor data engineers and promote engineering excellence in data practices. The ideal candidate for this role should possess a minimum of 10 years of experience in data architecture and engineering, along with a profound understanding of structured and unstructured data ecosystems. Hands-on proficiency in ETL, ELT, stream processing, querying, and data modeling is essential, as well as expertise in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python. Familiarity with cloud-native data platforms like AWS, Azure, or GCP is required, alongside a solid foundation in data governance, privacy, and compliance standards. A strategic mindset coupled with the ability to execute hands-on tasks when necessary is highly valued. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. As part of our team, you will have the opportunity to lead data-first transformation and develop products that drive AI adoption. You will enjoy the autonomy to design, build, and scale modern data architecture within a forward-thinking, collaborative, and tech-driven culture. Additionally, you will have access to the latest tools and technologies in the data ecosystem. Location: Chennai Experience: 10-15 Years | Full-Time | Work From Office If you are ready to shape the future of data alongside us, we invite you to apply now and embark on this exciting journey!,

About the Role We are looking for a Staff Engineer to lead the design and development of a scalable, secure, and robust data platform. You will play a key role in building data platform capabilities for data quality, metadata management, lineage tracking, and compliance across all data layers. If youre passionate about building foundational data infrastructure that accelerates innovation in healthcare, wed love to talk. A Day in the Life Architect, design, and build scalable data governance tools and frameworks. Collaborate with cross-functional teams to ensure data compliance, security, and usability. Lead initiatives around metadata management, data lineage, and data cataloging. Define and evangelize standards and best practices across data engineering teams. Own the end-to-end lifecycle of governance tooling from prototyping to production deployment. Mentor and guide junior engineers and contribute to technical leadership across the organization. Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions. What You Need 8+ years of experience in software engineering. Strong experience building distributed systems for metadata management, data lineage, and quality tracking. Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design. Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc. Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings. Prior experience in building metadata management frameworks for scale. Bachelor's or Masters degree in Computer Science, Engineering, or a related field.