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

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 AWS

• Architect data lake, data warehouse, and lakehouse solutions using services such as S3, Redshift, Glue, EMR, Lake Formation, and Athena

• Define and enforce data engineering best practices: coding standards, CI/CD, testing, version control, and code review processes

• Provide technical leadership and mentorship to a team of data engineers, including task planning, code reviews, and career development

• Collaborate with data architects, analysts, data scientists, and data product managers to translate business requirements into technical solutions

• Design and implement data orchestration workflows using tools like Apache Airflow (MWAA), Step Functions, or similar

• Ensure data quality, governance, security, and compliance across pipelines and storage layers

• Optimize pipeline performance, cost, and scalability across batch and streaming architectures (Kinesis, MSK/Kafka)

• Own infrastructure-as-code practices for data infrastructure using Terraform or CloudFormation

• Troubleshoot and resolve complex data pipeline issues, ensuring high availability and reliability

• Drive technical decision-making on tooling, architecture patterns, and platform roadmap

• Partner 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 role

• Deep hands-on expertise with core AWS data services: S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, Lake Formation

• Strong programming skills in Python and/or Scala, plus advanced SQL

• Proven 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 design

• Experience and knowledge of Semantic Layer (Cube), Context Engineering to power Agentic AI Data solutions

• Experience with infrastructure-as-code (Terraform or CloudFormation) and CI/CD pipelines

• Familiarity 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 guidance

• Excellent communication skills, with ability to work cross-functionally with technical and non-technical stakeholders

• Detailed 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 – Associate

• Experience with dbt, Kafka/MSK, or modern data stack tools (Snowflake, Databricks)

• Experience with real-time/streaming data architectures

• Background in data governance frameworks and metadata management (e.g., AWS DataZone, Collibra, Atlan)

• Prior experience in a Pharma Commercial Business Domain

#Hyderabad2026

 

 

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.

Experience Level

Senior Level