Kyndryl is seeking an accomplished Senior Data Architect, an individual contributor and team leader, to design, build, and operate robust data ecosystems for our customers. This pivotal role involves shaping and managing data architectures that enable scalable, secure, and innovative data solutions aligned with business strategies.
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Key Responsibilities
- Design and implement modern data architectures encompassing data foundations, data fabric, and integration with AI and agentic AI systems.
- Develop and maintain comprehensive data models (conceptual, logical, physical) and schema designs that support large-scale enterprise environments.
- Lead the design of ETL processes and DataOps workflows ensuring efficient, high-quality data integration and transformation.
- Establish and enforce data governance policies, metadata management, and data quality standards.
- Collaborate with cross-functional teams including business stakeholders, data engineers, AI platform architects, and technical leadership to translate requirements into scalable data solutions.
- Oversee and guide team members and other data architects, providing mentorship and technical direction.
- Evaluate and adopt technologies for cloud data platforms, data lakes, warehouses, and streaming data ecosystems.
- Drive cost optimization and performance tuning of data platforms.
- Ensure compliance with industry standards and regulatory requirements.
- Promote best practices in data security, access control, and data lineage management.
- Lead innovation in data architecture strategies to support cutting-edge AI/ML initiatives and agentic AI system integration.
Requirements
- Bachelor’s degree in computer science, Information Systems, Engineering, or related fields; Master’s degree preferred.
- Minimum 10+ years’ experience designing and implementing large-scale data architectures and data foundations.
- Deep expertise in data modeling, schema design, ETL framework development, and DataOps.
- Strong knowledge of modern data ecosystem technologies including but not limited to cloud data platforms (AWS, Azure, GCP), data lakes, data warehouses (Snowflake, Redshift, Synapse), streaming platforms (Kafka), and metadata/catalog tools.
- Knowledge on Palantir Foundry, (Palantir AIP is preferred).
- Proficiency with integration of data architectures with AI platforms and familiarity with agentic AI systems.
- Solid understanding of data governance, data security, and compliance frameworks.
- Proven team player with excellent collaboration skills across business and technical teams.
- Experience with data architecture supporting financial services or related regulated industries is a strong plus.
Preferred Qualifications
- Experience in requirements gathering and translating business needs into technical designs.
- Proficiency with DevOps and CI/CD practices for data workflows.
- Strong architecture skills with hands-on cloud platform experience.
- Excellent communication, presentation, and organizational abilities to lead effective stakeholder engagement.
- Certifications in data architecture or cloud platforms (e.g., CDMP, AWS Certified Solutions Architect) are advantageous.
- Arabic language skills.
This role offers a unique opportunity to architect the future of data ecosystems at Kyndryl, driving innovation and enabling data-driven decision-making at enterprise scale. We seek a strategic thinker with deep technical acumen and leadership abilities who thrives designing foundational data capabilities that empower advanced AI and analytics initiatives.
