Tech Lead for Non-Authoring Backend Logic

Summary

Requirements:

• Strong hands-on experience (10+ Years) building applications and services on Amazon Web Services (AWS), ideally in a cloud application architect or backend engineer capacity.
• Advanced proficiency in Python for backend development, ETL, and automation (including use within AWS Lambda and AWS Glue jobs).
• Proven experience with serverless computing on AWS, including Lambda, API Gateway, Step Functions, and event-driven integration patterns.
• Solid experience designing and maintaining ETL pipelines and data workflows using AWS Glue (jobs, workflows, and crawlers) and related data integration tooling.
• Strong SQL skills and experience working with analytical databases and data warehouses, especially Amazon Redshift.
• Practical knowledge of data warehousing concepts (dimensional modeling, fact/dimension design, slowly changing dimensions, data partitioning, and indexing).
• Experience with big data analytics workloads on AWS (S3-based data lakes, Parquet/ORC, Redshift Spectrum, Athena, or similar).
• Hands-on experience with Business Intelligence (BI) and data visualization tools, with a preference for Amazon QuickSight (dataset design, dashboards, security).
• Understanding of cloud infrastructure fundamentals (VPC, subnets, networking, IAM, encryption, security best practices) in AWS.
• At least one relevant AWS certification (e.g., Solutions Architect, Data Analytics, Developer, or similar) or equivalent practical expertise.
• Application and Interview
• By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: Government ID validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position.
• Alight requires all virtual interviews to be conducted on video. Please be aware that Alight is a camera-on culture and may require occasional travel to one of our physical office locations.
• Our commitment to Inclusion
• We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful.
• At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future.
• As part of this commitment, Alight will ensure that persons with disabilities are provided with reasonable accommodation for the hiring process. If reasonable accommodation is needed, please contact [email protected].
• Equal Opportunity Policy Statement
• Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ disabled persons, disabled veterans, and other covered veterans.
• Alight provides reasonable accommodation to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request reasonable accommodations/modifications by contacting their recruiter.
• Authorization to work in the Employing Country
• Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight.
• Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
• to be replaced with Government ID to get aligned with India context
• Agree
• We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
• DISCLAIMER:
• Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
• Level: Lead (10+ years)
• Summary
• Backend Lead responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on serverless application development, ETL pipelines, and enabling self-service analytics and reporting in Amazon QuickSight. The engineer will work closely with data, analytics, and product teams to deliver reliable, scalable data services and BI capabilities.
• Core Responsibilities
• Design and develop backend services and data APIs and other serverless components to support analytics and application workloads.
• Build and operate event-driven architectures that integrate S3, EventBridge, SNS/SQS, Lambda, Step Functions, and AWS Glue for near real-time and batch ETL workloads powering QuickSight dashboards and authoring.
• Implement robust ETL and data integration pipelines using AWS Glue (jobs, workflows, crawlers) to load, transform, and curate data in Amazon Redshift and the broader data warehouse environment.
• Model, optimize, and manage data structures (star/snowflake schemas, partitioning, distribution/sort keys) in Amazon Redshift and related data stores for performant SQL and BI queries.
• Enable and support Amazon QuickSight reporting and authoring, including data preparation, semantic modeling, row-level security, and performance tuning for dashboards and analyses.
• Apply big data analytics best practices for scalable storage and compute (e.g., S3-based data lakes, columnar formats like Parquet, pushdown, partition pruning).
• Design and implement monitoring, logging, and alerting for event-driven and serverless workloads using CloudWatch, X-Ray, and related services.
• Collaborate with data engineers, data scientists, and product teams to translate business and AI/analytics requirements into technical designs and working solutions.
• Contribute to architecture decisions, design reviews, and AWS best-practice adoption (security, IAM, networking, cost optimization, reliability).
• Mentor other engineers in serverless, data, and AI application patterns, coding standards, and cloud-native design.