Technical Lead

USAFull-time2026-10-07 → 2026-10-13

Core

Design and implement AWS-based data engineering solutions, building and optimizing batch and streaming data pipelines for analytics use cases.

Role type

Senior IC data engineering technical lead

Builds

Cloud-native data lakes and data warehouse architectures on AWS

Domain

Cloud data engineering and analytics

Deliverable

production ML models

Required skills

AWS data services (S3, Glue, Athena, Redshift), SQL, Python, Spark/PySpark, Terraform/CloudFormation, CI/CD pipelines, distributed processing, data modeling, schema design, query optimization

Preferred skills

Kinesis, Kafka, MSK, lakehouse architectures, BI/analytics tools, data governance, data quality, metadata management, FinOps, CDP/MarTech data, Agile delivery

Technologies

AWS, Spark, PySpark, Terraform, CloudFormation, Kinesis, Kafka, MSK

Responsibilities

Design and implement AWS-based data engineering solutions; Build and optimize batch and streaming data pipelines; Develop SQL-driven transformations and Python-based data pipelines; Design efficient data models for performance, scalability, and cost effectiveness; Perform performance tuning, cost optimization, capacity planning, and root-cause analysis; Collaborate with architects, product owners, client stakeholders, DevOps, QA, and business stakeholders.

Seniority

Senior, hands-on IC

About Dentsu

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.