Experience Range: 7 to 10 years of experience in advanced AWS data engineering, including significant expertise in Master Data Management (MDM) with Stibo and designing large-scale data solutions Key Responsibilities:
Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements
Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS
Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway
Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search
Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT
Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms
Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms
Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features
Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization
Required Skills:
Advanced proficiency in AWS services including SNS, SQS, Amazon API Gateway, Athena, CloudFormation, CloudWatch, DMS, DynamoDB, EMR, Kinesis, Open Search, Redshift, SCT
Expertise in designing and managing data pipelines and ETL workflows on AWS
Strong experience with Spark using Scala for large-scale data processing
Hands-on experience with Oozie workflow scheduling and orchestration
Deep knowledge of real-time data streaming with AWS Kinesis
Proven ability to configure and optimize Amazon Redshift for analytics workloads
Experience with DynamoDB for NoSQL database solutions
Ability to automate infrastructure and deployments using AWS CloudFormation
Proficient in monitoring and logging with AWS CloudWatch
Skill in managing data migration and schema transformation using AWS SCT and DMS
Demonstrated expertise in implementing and integrating MDM solutions using Stibo
Preferred Skills:
Experience integrating AWS data solutions with third-party analytics and visualization tools
Proficiency in optimizing performance for large-scale distributed data systems
Knowledge of emerging AWS data services and staying current with industry best practices
Experience with Open Search for search and analytics use cases
Background in mentoring and leading engineering teams in cloud data projects
Familiarity with advanced data governance and data quality frameworks in MDM environments
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional
Certification in Apache Spark or relevant big data technologies (preferred)
Ovii Interpretation
This Principal Data Engineer role focuses on architecting AWS-based data pipelines and enterprise data solutions, including Master Data Management with Stibo. The work spans ETL, streaming, infrastructure automation, data migrations, and platform reliability, alongside technical reviews and mentoring.
Role at a glance
AWS data engineeringData pipeline architectureETL and data migrationReal-time data streamingMaster Data ManagementTechnical mentoring
Skills mentioned
AWS data servicesAmazon SNSAmazon SQSAmazon API GatewayAmazon AthenaAWS CloudFormationAmazon CloudWatchAWS DMSAmazon DynamoDBAmazon EMR
What you will likely work on
Architect scalable AWS data pipelines and solutions for business requirements.
Build and optimize ETL workflows using AWS data services.
Implement real-time ingestion and streaming with Kinesis and API Gateway.
Monitor, troubleshoot, and improve data platform performance.
Automate infrastructure deployment and manage data and schema migrations.
Implement and integrate Stibo MDM across enterprise data platforms.
Connect data solutions with enterprise applications and analytics platforms while applying security, quality, and compliance practices.
Conduct technical reviews, mentor engineers, and encourage adoption of relevant data technologies.
Good fit signals
Brings 7–10 years of advanced AWS data engineering experience, including substantial MDM work with Stibo.
Has strong Spark and Scala experience for large-scale data processing and practical experience with Oozie orchestration.
Can design AWS pipelines and ETL workflows and work with Kinesis, Redshift, DynamoDB, and related AWS services.
Has led technical reviews or mentored engineers; prior cloud data team leadership is preferred.
Experience with third-party analytics tools, OpenSearch, or data governance frameworks can be helpful.
Meet Brillio
Brillio is a technology consulting and services company that helps enterprises build and modernize software, data platforms and digital operations. Its services span AI and data engineering, application development, customer experience transformation, cloud infrastructure and security. It serves businesses in banking and financial services, insurance, healthcare and life sciences, retail, consumer goods, telecommunications and media. Its ADAM platform, short for Agentic Data and Application Management, provides tools to build, orchestrate and govern AI agents and supporting data workflows. Brillio combines consulting, engineering and implementation services to address legacy systems, fragmented data and the challenges of moving AI applications into production. Founded in 2014, the company is headquartered in Dallas and operates delivery locations across North America, Europe and Asia.
Founded
2014
Company size
5,001-10,000 employees
Company stage
Not known
Headquarters
Dallas, USA
Why work here
Brillio offers work on enterprise AI, cloud migration, application modernization and data platforms for large companies. Current engineering roles use React, Python, AWS, Azure, Databricks and Snowflake. Development programs include Brillio Academy, graduate training and Winspire for women leaders. Its role-specific AI training combines hands-on practice with assessment and earned two Gold Brandon Hall HCM Excellence Awards in 2026. Brillio's October 2026 U.S. Great Place to Work profile reports that 81% of respondents consider it a great workplace. Work arrangements depend on the project; some roles require client-office attendance or shifts.
RMRaj MamodiaChairman, Founder and Chief Executive OfficerView bioHide bio
Founded Brillio in 2014 and leads the company as chairman and CEO. Previously held technology and management roles at Larsen & Toubro, IBM and Cognizant. He holds a bachelor's degree in mechanical engineering from Motilal Nehru National Institute of Technology and an MBA from Northwestern University's Kellogg School of Management.
CDChander DamodaranChief Technology OfficerView bioHide bio
Leads Brillio's technology innovation and advises clients on digital and AI initiatives. He brings more than 25 years of experience in architecture, engineering, innovation and product development. His responsibilities include strengthening engineering capabilities and translating business needs into technology solutions.
SKSridhar KrishnamurthyChief Human Resources OfficerView bioHide bio
Leads Brillio's people strategy and culture. As a member of its founding leadership team, he has helped develop the workforce throughout the company's global expansion. His remit includes employee capability development and preparing technical, delivery, sales and leadership teams to apply AI in their work.
JKJitendra KukdayGlobal Head of the Growth OfficeView bioHide bio
Leads Brillio's Growth Office and brings more than 28 years of experience in IT services and business process outsourcing. His industry commentary focuses on modernizing legacy systems and data foundations so insurers can deploy AI in production.
JMJeff McMillanIndependent DirectorView bioHide bio
Joined Brillio's board in 2026, bringing experience deploying AI in financial services. Founder of McMillanAI, he previously led firmwide AI and wealth management analytics at Morgan Stanley and held senior roles at Merrill Lynch. He is a West Point graduate and teaches AI in financial services at Columbia University.
Brillio recognized as an ISG Leader for AI-driven application development
Brillio·
ISG named Brillio a Leader in the Application Development Projects category of its 2026 U.S. study, highlighting the ADAM platform, industry-focused delivery teams and application modernization capabilities.
Brillio joined Salesforce's invitation-only engineering partner network to support Agentforce deployments and enterprise AI adoption through closer collaboration with Salesforce product and engineering teams.
The partnership combines Brillio's ADAM accelerator and industry solutions with the Databricks Data Intelligence Platform to support data modernization, governance and production AI deployments.