Technology Consulting Senior Consultant role at Protiviti, mentoring interns while leading data engineering and analytics initiatives for clients. Collaborating across diverse industries to deliver meaningful insights.
About the role
- Senior Data Architect designing scalable AI-ready data architectures for Novo Nordisk. Building data platforms, ensuring compliance standards, and collaborating with cross-functional teams.
Responsibilities
- Design and implement robust data architecture frameworks for MDM & integration with enterprise
- Build scalable data models and platforms to meet business and scientific needs.
- Define and enforce standards for modelling, storage, metadata, and access.
- Align architecture with AI/ML needs (feature stores, model serving, MLOps).
- Embed the data governance to ensure compliance standards & security requirements are met
- Set and maintain policies for data quality, security, privacy, and lifecycle.
- Monitor compliance and support audits.
- Work with stakeholders on stewardship, lineage, and metadata management.
- Optimise data pipelines and workflows
- Design and improve ETL/ELT for structured and multi‑modal data.
- Increase processing efficiency and scalability for analytics and model training/serving.
- Implement automation, observability, and monitoring.
- Collaborate with cross‑functional teams
- Partner with data scientists, engineers, and analysts to deliver production solutions.
- Bridge technical and business stakeholders to align priorities.
- Provide technical leadership and mentorship.
- Evaluate and integrate emerging technologies
- Assess and pilot new tools (knowledge graphs, vector DBs, distributed processing).
- Lead integration of innovations into existing systems.
- Track industry trends to drive continuous improvement.
Requirements
- Minimum 10+ years of experience in data architecture, data engineering, or related roles.
- Proven expertise in designing scalable data solutions, integrating AI/ML techniques, and working with structured and unstructured data.
- Technical skills: Strong expertise with Informatica, Databricks, and data platforms (AWS, GCP, or Azure), distributed processing frameworks (e.g., Spark, Flink), and databases (relational, NoSQL, any).
- Familiarity with data governance, advanced analytics, and data platforms.
Benefits
- Health insurance
- Professional development opportunities
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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