Data Architect & Delivery Lead – Data Quality Platform (Snowflake, AI)

Olympus Corporation; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Olympus Corporation is seeking a Data Architect for Quality, Transparency, and Privacy (QTP) to lead enterprise data quality, transparency, and privacy architecture on the Data & Analytics platform. You will act as the architectural authority, drive governance, and own the Augmented Data Quality initiatives with a focus on scalability and compliance.

You will collaborate with Data Owners and Data Stewards, guide delivery teams, and ensure alignment with security, privacy, and regulatory

Qualifications

• Bachelor’s degree or higher in computer science or related field.
• 5–7+ years of data architecture experience in enterprise environments.
• Strong knowledge of data quality, privacy, and governance.
• Experience with Snowflake, Azure, and data platforms.

Responsibilities

• Define and govern data quality, transparency, and privacy architecture.
• Act as architectural authority for QTP across enterprise data landscape.
• Plan and oversee delivery by internal and external engineers.
• Collaborate with Data Owners and Stewards on governance models.
• Ensure compliance with security and regulatory requirements.

Skills

Data architecture

Data governance

SQL

Cloud platforms (Azure)

Snowflake

Data quality

Privacy/compliance

Collibra

Education

Bachelor’s degree in computer science, engineering, or related field

Tools

Azure

Snowflake

Collibra

Job description

The Global Insights & Analytics team at Olympus leads the company’s transformation into a data‑driven global MedTech organization. Data and advanced analytics are critical enablers for achieving business objectives, differentiating Olympus in the market, and driving sustainable, profitable growth.

The Data Architect – Quality, Transparency, and Privacy (QTP) serves as the enterprise architectural authority, delivery lead, and application owner for enterprise-wide data quality, transparency, and privacy capabilities on the Olympus Data & Analytics platform.

The Data Architect (QTP) is accountable for defining, governing, and assuring enterprise-grade data quality, transparency, and privacy architecture to enable trusted, compliant, and scalable data products across Olympus.

The role acts as the architectural authority, delivery lead, and application owner for QTP capabilities on the enterprise Data & Analytics platform, including the Augmented Data Quality solution built on the Snowflake Lakehouse. It ensures solution quality, scalability, regulatory compliance, and continuous evolution in close collaboration with the DnA Platform team.

As a core member of the Data Governance organization, the role collaborates closely with and guides the Data Excellence team, data owners, and data stewards, embedding data quality, transparency, and privacy principles into end‑to‑end data lifecycles and decision‑making.

Responsibilities

QTP Data Architecture & Governance Authority

• Act as an architectural authority for QTP capabilities across the enterprise data landscape.
• Define and govern data quality, transparency, and privacy architecture patterns and standards.
• Collaborate closely with the Data Excellence team, Data Owners, and Data Stewards to guide governance processes, standards of adoption, and operating models.
• Ensure alignment with enterprise data governance, security, and compliance frameworks.
• Shape automation-first designs for data observability and quality monitoring.

Application Ownership – Augmented Data Quality

• Act as Application Owner for the Augmented Data Quality solution on the Snowflake Lakehouse.
• Own platform lifecycle responsibilities, including roadmap, architecture evolution, upgrades, and decommissioning.
• Ensure solution scalability, reliability, and auditability.
• Represent the application in governance, security, and architecture forums.
• Act as Delivery Lead for QTP and Augmented Data Quality initiatives, including Data Quality Management activities (e.g., data profiling, cleansing, validation, and remediation) in the context of data migration initiatives, ensuring alignment with enterprise data quality standards, migration timelines, and downstream consumption requirements.
• Plan and supervise deliveries executed by internal and external engineers.
• Guide delivery teams through architectural patterns, standards, and quality expectations.
• Ensure adherence to approved scope, timelines, budgets, and compliance requirements.
• Serve as a central escalation point for delivery, quality, or architectural risks.

Operational Oversight & Continuous Improvement

• Oversee operational performance of data quality, observability, and monitoring capabilities.
• Collaborate with platform and security teams to ensure SLA adherence and secure operations.
• Drive continuous improvement through increased automation, advanced detection logic, and proactive remediation.
• Support incidents, change, and release management from an application owner perspective.

Compliance, Assurance & Transparency

• Ensure compliance by designing data quality, privacy, and transparency requirements.
• Support auditability, lineage, explainability, and enterprise data trust.
• Act as an architectural assurance authority for QTR-related data products and pipelines.
• Collaborate with Legal, Privacy, IT Security, AI Governance, and Data Governance teams (Data Owners and Stewards)
• Technical leadership without formal people management
• Functional leadership of virtual/project/vendor teams

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 higher in computer science, engineering, or other related field (or equivalent and related experience).

Experience:

• Minimum 5-7+ years' experience in data architecture and management
• Advanced understanding in the enterprise data architecture on major business applications, ERPs, CRMs, and data products
• Advanced expertise with data warehouses, data lakes, and other applicable data solutions.
• Expert knowledge of SQL
• Familiarity with data visualization tools.
• Hands‑on experience with cloud‑based data platforms, preferably Azure and Snowflake
• Experience designing or owning data quality and observability solutions
• Practical experience with data governance tooling (e.g., Collibra)
• Experience collaborating with Data Owners and Data Stewards in federated governance models
• Strong understanding of data security, privacy, and regulatory requirements
Experience in project management, process modeling, data modeling, and systems analysis.

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."