The Role
The Data Architect will design and implement scalable data architectures on AWS, develop data pipelines, optimize AWS services, and collaborate with teams to ensure data integrity and compliance.
Summary Generated by Built In
Data Architect
Primary Skills
- Athena, SNS, SQS, CloudWatch, Macie, Spark - Scala, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, Amazon API Gateway, SCT, Redshift, DMS, Oozie
Job requirements
- Experience Range: 7 - 10 years of experience in data architecture and AWS data engineering Key Responsibilities: 1. Design and implement scalable data architectures on AWS, leveraging services such as EMR, Redshift, DynamoDB, and Kinesis 2. Develop robust data pipelines using Spark (Scala), Oozie, and AWS Glue to support analytics and operational workloads 3. Configure and optimize AWS services including Athena, Open Search, CloudWatch, Macie, and CloudFormation for efficient data processing and monitoring 4. Manage and secure data flows with Amazon SNS, SQS, API Gateway, and DMS, ensuring data integrity and compliance 5. Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on performance, security, and reliability 6. Troubleshoot and resolve complex issues related to data ingestion, transformation, and storage within AWS environments 7. Implement best practices for data governance, security, and privacy, utilizing AWS Macie and related tools 8. Monitor system performance and proactively identify opportunities to improve data processing efficiency and reduce costs Required Skills: 1. Advanced proficiency with AWS services including Athena, SNS, SQS, CloudWatch, Macie, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, Amazon API Gateway, SCT, Redshift, and DMS 2. Expertise in Spark with Scala for large-scale data processing 3. Hands-on experience with Oozie for workflow orchestration 4. Strong knowledge of data modeling and architecture in cloud environments 5. Proficiency in designing and optimizing ETL pipelines 6. Experience with real-time and batch data processing solutions 7. Ability to configure and manage AWS security and monitoring tools 8. Skilled in deploying infrastructure as code using AWS CloudFormation 9. Competence in integrating AWS services for end-to-end data solutions 10. Solid understanding of data governance and compliance in AWS Preferred Skills: 1. Experience with machine learning pipelines on AWS 2. Knowledge of advanced AWS analytics services such as AWS Glue and QuickSight 3. Familiarity with containerization technologies like Docker and Kubernetes 4. Expertise in automating data quality and validation processes 5. Background in implementing data cataloging and lineage solutions 6. Experience with migration tools and strategies for legacy data systems Desired Qualifications: 1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field 2. AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification preferred
Skills Required
- 7 - 10 years of experience in data architecture and AWS data engineering
- Advanced proficiency with AWS services
- Expertise in Spark with Scala for large-scale data processing
- Hands-on experience with Oozie for workflow orchestration
- Strong knowledge of data modeling and architecture in cloud environments
- Proficiency in designing and optimizing ETL pipelines
- Familiarity with data governance and compliance in AWS
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
-
Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
-
Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
-
Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
