Sr. Data Engineer

Role: Sr. Data Engineer

Location: Seattle, Washington

Experience: 10+ Years
Key Skills: AWS, MDM, Python, SQL, Reltio

Role & Responsibilities

· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

· Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.

· Working knowledge of Master Data Management Reltio preferred

· Research, analyze, recommend, and select technical approaches for solving exciting and sophisticated development and integration problems

· Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure

· Implement additional project components (API interfaces) for accessibility

· Implement secure cloud data solutions which align to privacy and security controls

· Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Qualifications

• A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it
• Contribute to the overall data platform architecture and evolution
• Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures
• Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform
• Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)
• Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.
• Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go
• Solid understanding of scripting languages such as bash or PowerShell
• Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors
• Must have a background in data engineering – Data Warehouse, ETL/ELT and BI experience
• Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems
• Working experience with various stream analytics technologies
• Familiarity with modern engineering practices, including agile development, CI/CD and DevOps

ABOUT SONATA SOFTWARE

Sonata Software is an AI-first modernization engineering company that helps enterprises transform legacy systems into intelligent, scalable business platforms. Powered by its Platformation™ framework and Harmoni.AI platform, Sonata delivers AI-led modernization across cloud, data, AI, Dynamics, test automation, and managed services. Headquartered in Bengaluru, India, Sonata has more than $1.2 billion in revenue and 6,400+ AI engineers supporting global delivery across regions including the US, UK, India, Malaysia, Mexico, Australia, DACH, and the Nordics. With deep partnerships across Microsoft, AWS, Salesforce, and Snowflake, Sonata helps Fortune 500 enterprises accelerate innovation, improve efficiency, and drive sustainable growth.

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Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law