Senior Data Engineer

Olympus Corporation; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Olympus Corporation in Hyderabad, India, invites an experienced Senior Data Solutions and Cloud Architect/Engineer to drive end-to-end data management and cloud-native analytics. You will mentor teams of data engineers, cloud architects, DevOps and MLOps, delivering secure, scalable data pipelines and enterprise frameworks.

The role requires extensive technical expertise in Azure-based data environments, data warehousing, ETL, and cross-functional collaboration with business users and data

Qualifications

• 6-8 years of relevant experience, pharma/medtech/healthcare preferred.
• Strong data handling across structured/semi/unstructured data.
• Expertise with distributed processing and traditional RDBMS.
• Knowledge of information security principles for compliant data handling.
• Cloud services experience, preferably Azure.
• Experience with data warehousing and ETL tools (ADF preferred).
• Ability to design scalable cloud architectures and cost-efficient environments.
• Collaborative cross-functional work with data science, DevOps and leadership.

Responsibilities

• Lead planning and execution of Data and Advanced Analytics solutions with stakeholders.
• Architect enterprise-wide data frameworks and libraries for faster decision-making.
• Design secure data integration strategies ensuring seamless data flow.
• Maintain accessible data pipelines from exploration to deployment.
• Model data landscapes with stakeholders and define secure data exchange.
• Oversee ingestion and processing of data into the Azure data cloud platform.
• Collaborate with data science teams to map data to hypotheses and prep data.
• Ensure compliance with Information Security, Cyber Security, and Data Privacy principles.
• Innovate with modern cloud technologies to improve operational efficiency.
• Mentor junior architects and data engineers; foster knowledge sharing.
• Stay updated on emerging tech to maintain competitive edge.
• Document data architecture and cloud solutions comprehensively.

Skills

Data architecture

Cloud architecture

Azure

Data integration

ETL design

Information security

Team leadership

DevOps collaboration

Education

Bachelor's degree in IT/CS

Master's degree preferred

Tools

Azure

Terraform

ADF

Spark

Hadoop

Snowflake

Redshift

CosmosDB

MongoDB

PostgreSQL

Job description

The Global Insights & Analytics team at Olympus Corporation helps define and lead the transformation towards becoming a global, data-driven MedTech company with the help of data and modern data technologies (e.g., machine learning, deep learning). To us, data and advanced analytics are important levers to reach our business targets, now and in the future; they help differentiate us from our competition and ensure sustainable revenue growth at optimal margins.

The Senior Data Solutions and Cloud Architect / Engineer is reporting to the Data & Analytics Platform Lead. Together with teams of data engineers, cloud architects, DevOps and MLOps experts as well as data scientists and business users, the senior data solutions and cloud architect/engineer will develop, run, and continuously refine an easy-to-use, modern, and lean/cost-effective cloud-based data & analytics environment for Olympus worldwide. The role will also help businesses leverage modern data technologies by building tailored data solutions and helping to integrate them into their processes and way of working.

Position Accountability/Scope:

The Senior Data Solutions and Cloud Architect / Engineer works on end-to-end data management that will enable faster, better, and more informed decision-making within the business and help create business value out of data & (advanced) analytics. The role demands extensive experience, profound technical expertise, and the capability to provide strategic technical oversight. This position involves leading and mentoring technical teams, as well as managing collaborations with external partners.

Main Responsibilities

• Lead the strategic planning and execution of prioritized Data and Advanced Analytics solutions, ensuring significant business impact and timely delivery in collaboration with business owners, subject matter experts, data scientists, and Advanced Analytics product owners.
• Architect and develop enterprise-wide frameworks and libraries that facilitate faster, more informed decision-making, driving substantial business value from Data & Advanced Analytics.
• Design and implement secure, best-practice data integration strategies and approaches, ensuring seamless data flow across the organization.
• Ensure data availability and accessibility for prioritized data and advanced analytics initiatives, maintaining stable, scalable, and modular data science pipelines from data exploration through to deployment.
• Collaborate with key stakeholders to model their data landscape, obtain data extracts, and define secure data exchange methodologies, fostering a data-driven culture.
• Oversee the acquisition, ingestion, and processing of data from multiple sources and systems into the data cloud platform (Azure), managing and optimizing cloud-based data environments.
• Partner with data and data science teams to map data fields to hypotheses, and curate, wrangle, and prepare data for advanced analytical models, ensuring high-quality data inputs.
• Ensure compliance with Information Security, Cyber Security, Validation (GxP), and Data Privacy principles, developing and enforcing robust data handling and access strategies.
• Innovate and implement smart automation solutions using modern cloud technologies, aligned with business priorities and needs, enhancing operational efficiency.
• Act as key collaboration partner for all data and cloud-related activities, providing lateral leadership to Data Engineers, Cloud Architects, DevOps and MLOps experts and fostering cross-functional teamwork.
• Mentor and guide junior architects and data engineers, promoting knowledge sharing and professional development within the team.
• Stay abreast of emerging technologies and industry trends, continuously integrating innovative solutions to maintain a competitive edge.
• Develop and maintain comprehensive documentation for all data architecture and cloud solutions, ensuring clarity and continuity.

Why work at Olympus?

At Olympus, we are committed to fostering a high-performing culture, a collaborative environment, and empowering everyone to shine. Our shared values—integrity, empathy, long-term view, agility, and unity—form the foundation of our culture and guide our behavior. These values ensure that our people feel they are making a meaningful difference every single day.

What we are looking for:

Education:

• Bachelor's degree or a master's degree in Information Technology, computer science, or a related field.

Experiences:

• At least 6-8 years of relevant working experience, ideally in a pharma/medtech/healthcare environment.
• Expertise in Data Handling: Proven ability to work with structured, semi-structured, and unstructured data, extracting valuable insights and identifying linkages across disparate data sets.
• Database Technologies: Extensive experience with multiple database technologies, including distributed processing (Spark, Hadoop, EMR); traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL); MPP (Snowflake, AWS Redshift); and NoSQL (CosmosDB, MongoDB, DynamoDB, Cassandra, Neo4J, Titan).
• Information Security: Strong understanding of information security principles to ensure compliant handling and management of data.
• Cloud Platforms: Extensive experience and interest in cloud platforms (preferably Azure) and their services and ecosystem.
• Data Warehousing and ETL: Strong experience with traditional data warehousing and ETL tools (preferably ADF).
• Cloud Architecture: Proficiency in architecting, building, and maintaining cost-efficient and scalable cloud environments.
• Infrastructure as Code: Ability to write infrastructure as code—preferably Terraform.
• Business Acumen: Ability to understand business objectives and create cloud-based solutions to meet those goals.
• Analytical and Creative Thinking: Result-driven, with strong analytical and creative problem-solving skills.
• Cross-Functional Collaboration: Ability to work effectively with cross-functional teams, bridging the gap between business and data science; consultancy experience is a plus.

Apply Now:

To submit your interest in this opportunity, select "Apply for this job."

Want to know more?

Confidential discussions are welcome; contact our TA Partner.

Olympus is an Equal Opportunity Employer.

"We are deeply committed to fostering a respectful, fair, and welcoming workplace for all individuals, perspectives, and lifestyles. We believe in fostering a nondiscriminatory, inclusive work environment where everyone feels a sense of belonging, in full compliance with legal standards. Empathy and unity are core to our company culture, empowering employees to contribute fully and flourish. We warmly encourage all who wish to bring their talents to Olympus to apply."