Technical Data and Integration Architect (Commerical Pharma and AWS) - RDT Pharma Medicines

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

We are looking for an experienced AWS Data Engineering Technical Lead to design, build, and deliver reliable, high-performance data solutions on AWS.This role combines hands-on technical leadership— you'll design and build robust data pipelines, data frameworks, data governance (quality, privacy) solutions and will set engineering standards. This role also requires to work with Global Roche and vendor partner teams

Key Responsibilities

Lead the design, development, and optimization of scalable data pipelines and ETL/ELT workflows on AWSArchitect data lake, data warehouse, and lakehouse solutions using services such as S3, Redshift, Glue, EMR, Lake Formation, and AthenaDefine and enforce data engineering best practices: coding standards, CI/CD, testing, version control, and code review processesProvide technical leadership and mentorship to a team of data engineers, including task planning, code reviews, and career developmentCollaborate with data architects, analysts, data scientists, and data product managers to translate business requirements into technical solutionsDesign and implement data orchestration workflows using tools like Apache Airflow (MWAA), Step Functions, or similarEnsure data quality, governance, security, and compliance across pipelines and storage layersOptimize pipeline performance, cost, and scalability across batch and streaming architectures (Kinesis, MSK/Kafka)Own infrastructure-as-code practices for data infrastructure using Terraform or CloudFormationTroubleshoot and resolve complex data pipeline issues, ensuring high availability and reliabilityDrive technical decision-making on tooling, architecture patterns, and platform roadmapPartner with DevOps/Platform teams on CI/CD, monitoring, and observability (CloudWatch, Datadog, etc.)Stay current with AWS data ecosystem advancements and evaluate new tools/services for adoption

Required Qualifications

8+ years of experience in data engineering, with 2+ years in a technical lead or senior data engineering roleDeep hands-on expertise with core AWS data services: S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, Lake FormationStrong programming skills in Python and/or Scala, plus advanced SQLProven experience designing and operating large-scale ETL/ELT pipelines (batch and streaming)Experience with data orchestration tools (Airflow/MWAA, Step Functions, or equivalent)Solid understanding of data modeling, data warehousing concepts, and dimensional/lakehouse designExperience and knowledge of Semantic Layer (Cube), Context Engineering to power Agentic AI Data solutionsExperience with infrastructure-as-code (Terraform or CloudFormation) and CI/CD pipelinesFamiliarity with big data processing frameworks (Spark, Hadoop ecosystem)Strong understanding of data security, IAM policies, encryption, and compliance requirements (e.g., GDPR, HIPAA, SOC 2)Experience leading or mentoring engineers, including code reviews and technical guidanceExcellent communication skills, with ability to work cross-functionally with technical and non-technical stakeholdersDetailed knowledge and understanding of Pharma Commercial business and data :- sales, claims, Voice of Customer, Veeva CRM,IQVIA

Preferred Qualifications

AWS Certification(s): AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, or AWS Certified Data Engineer – AssociateExperience with dbt, Kafka/MSK, or modern data stack tools (Snowflake, Databricks)Experience with real-time/streaming data architecturesBackground in data governance frameworks and metadata management (e.g., AWS DataZone, Collibra, Atlan)Prior experience in a Pharma Commercial Business Domain

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Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.