Data Analytics Architect

Role Description

We are looking for a Data Analytics Architect to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad, making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration without the responsibilities of people management.

You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.

Qualifications

• 6+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
• Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
• Mastery of Python beyond standard data scripting, with deep, practical experience in Test-Driven Development (TDD), mocking, exception handling, and performance profiling.
• Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg).
• Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue).
• Expert in designing scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
• Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
• Superb organizational and communication skills, with the ability to distill complex architectural trade-offs for non-technical stakeholders.

Requirements

• Deep expertise in designing scalable data architectures.
• Hands-on experience with AWS services and Infrastructure as Code.
• Extensive experience with big data frameworks.
• Mastery of Python and advanced software engineering practices.
• Proven experience with geo-spatial and time-series data.

Benefits

• Empowering Projects: Contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: Continuous learning and professional development supported by a dedicated Learning & Development team.
• DE&I Matters: Commitment to diversity and providing equal opportunities for all individuals.
• Career Development: Strong emphasis on career growth with abundant opportunities and regular team interactions.
• Comprehensive Benefits: A benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: Work-life balance with flexible opportunities tailored to your lifestyle.