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

Roche

Hyderabad

On-site

INR 3,500,000 - 7,000,000

Full time

8 hours ago
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Job summary

Roche Hyderabad seeks an experienced AWS Data Engineering Technical Lead to design, build, and deliver high‑performance data solutions on AWS. You will lead data pipelines, governance, and platform standards while working with global Roche teams and vendor partners.

You will mentor a team of data engineers, drive architecture decisions, and ensure data quality, security, and scalable infrastructure across batch and streaming workloads in a pharma‑centric environment.

Qualifications

  • 8+ years of data engineering experience with 2+ years in technical leadership.
  • Deep hands-on AWS data services: S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, Lake Formation.
  • Strong Python/Scala skills and advanced SQL.
  • Experience designing large ETL/ELT pipelines (batch and streaming).
  • Experience with Airflow/MWAA, Step Functions or equivalent.
  • Data modeling, warehousing concepts, and lakehouse design.
  • Knowledge of data security, IAM, encryption, and compliance.

Responsibilities

  • Lead design, development, and optimization of scalable data pipelines on AWS.
  • Architect data lake/warehouse/lakehouse solutions and enforce best practices.
  • Provide technical leadership, code reviews, and career development for engineers.
  • Collaborate with data scientists, analysts, and product managers to translate requirements.
  • Implement data orchestration using Airflow or equivalent and ensure governance.
  • Own infrastructure‑as‑code practices and CI/CD pipelines; optimize cost and performance.
  • Mentor teams, ensure data quality, security, and compliance across pipelines.

Skills

Python
Scala
SQL
Data governance
Team leadership
Communication
Pharma data domain knowledge

Tools

S3
Redshift
Glue
EMR
Airflow / MWAA
Terraform
CloudFormation
Kinesis
Lake Formation

Job description

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.

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