Note: The job is a remote job and is open to candidates in USA.
Company Overview
Mogi I/O is an innovative company focusing on OTT, podcast, and short video applications. They are seeking a Lead Data Architect to design and evolve a modern AWS-based enterprise data platform, overseeing all aspects of data architecture and analytics.
Responsibilities
- Own the end-to-end data architecture across ingestion, storage, processing, serving, and visualization layers
- Define canonical data models, domain-driven data contracts, and schema designs for batch and streaming workloads
- Lead conceptual, logical, and physical data modeling initiatives
- Establish reference architectures and integration patterns for event-driven and API-led data pipelines using Kafka and MuleSoft
- Design secure, multi-account AWS environments including VPC, IAM, and KMS
- Implement governance, data lineage, cataloging, and metadata standards
- Lead the design and phased rollout of a new AWS data platform
- Architect raw and curated data zones on Amazon S3 with lifecycle and partitioning strategies
- Enable interactive analytics using Athena and governed enterprise reporting using Snowflake and Tableau
- Define platform SLAs/SLOs, cost guardrails, and chargeback/showback models
- Optimize storage and compute usage for performance and cost efficiency
- Partner with DevOps teams to deploy containerized data services on Amazon EKS
- Drive CI/CD automation for data pipelines, streaming services, and integrations
Skills
- 8+ years of experience in data architecture or data engineering
- 3+ years of hands-on experience architecting data platforms on AWS
- Proven expertise in S3-based data lakes, including partitioning, lifecycle policies, and metadata management
- Strong hands-on experience with Kafka (topic design, schema evolution, consumer groups, performance tuning)
- Practical experience designing MuleSoft integrations using API-led connectivity and governance models
- Production experience with Amazon EKS for data and streaming microservices
- Advanced SQL skills and performance tuning using Amazon Athena
- Deep experience with Snowflake data warehousing (ELT, clustering, security, resource monitoring)
- Experience delivering analytics and dashboards using Tableau
- Strong command of data modeling techniques (3NF, dimensional/star, data vault, event modeling)
- Solid understanding of cloud security, IAM/KMS, networking, and cost management
- Experience with schema registries, stream processing frameworks, and change data capture (CDC)
- Background in data governance, metadata automation, cataloging, and lineage tools
- Familiarity with Infrastructure as Code (IaC) and DevOps/GitOps practices for data platforms
- Experience enabling self-service analytics and building enterprise semantic layers
Benefits
- Paid vacation, sick leave, holidays, bereavement, and jury duty
- 401(k) retirement plan with employer matching
- Medical, dental, and vision insurance (US employees & dependents)
- Company-paid life, AD&D, and disability insurance
- Optional HSA and FSA programs
- Benefits may vary by employment type and location
About Mogi I/O
Mogi I/O is next generation, scalable and cost-effective delivery solution that enables online video providers (image optimization) to profit from their content by a superior video/image experience to billions It was founded in 2018, and is headquartered in New Delhi, Delhi, IND, with a workforce of 11-50 employees. Its website is Apply tot his job Apply tot his job