Dear Aspirant!

We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you'd make a great addition to our vibrant international team.

Youll make an impact by:

Define and drive the enterprise data architecture strategy aligned with business goals, digital transformation, and AI readiness.
Act as a key advisor to leadership on data architecture, platform strategy, and emerging data trends.
Establish and govern enterprise-wide data architecture principles, standards, and standard practices.
Architect end-to-end data ecosystems spanning ingestion, transformation, storage, access, governance, and observability.
Design scalable, secure, and high-performance data platforms demonstrating Snowflake and Azure data services.
Define reference architectures for batch, real-time, and hybrid data processing.
Design architecture supporting AI/ML workloads, including feature engineering, vectorized data, and ML pipelines.
Integrate semantic technologies such as Knowledge Graphs (KG), ontologies, and metadata-driven architectures.
Enable data discoverability, interoperability, and contextual understanding across domains.
Partner with business leaders, product teams, and AI teams to align architecture with use cases.
Collaborate with domain owners to ensure domain-driven and business-context aware data models.
Drive adoption of data architecture standards across distributed teams (data mesh/federated models).
Define and enforce frameworks for data governance, lineage, metadata management, and data quality.
Ensure compliance with security, privacy, and regulatory requirements.
Establish observability practices for monitoring data health and reliability.
Provide architectural guidance and review designs across engineering and analytics teams.
Mentor senior engineers, data architects, and technical leads.
Evaluate and recommend emerging technologies and tools for enterprise adoption.

Use your skills to move the world forward!

Bachelor's or master's degree in computer science, Information Systems, Data Management, or related fields.
10+ years of experience in data architecture, data engineering, or enterprise architecture roles.
Proven experience in defining and implementing enterprise-scale data architecture strategies.
Strong expertise in data warehousing, performance tuning and governance.
Deep hands-on experience with Azure data ecosystem (Synapse, Data Lake, Data Factory, Azure SQL, Purview) or similar technologies.
Strong foundation in data modelling (conceptual, logical, physical), integration patterns, and distributed systems.
Experience designing architectures for BI, real-time analytics, and AI/ML workloads including GenAI use-cases.
Strong understanding of semantic modelling, metadata management, and Knowledge Graph concepts.
Excellent partner management and ability to influence senior leadership
Critical thinking with strong execution focus.
Enterprise-level architecture and decision-making capability.
Influencing and partner alignment across functions.
Mentorship and technical leadership.
Innovation attitude with a focus on scalability and sustainability.

Create a better #TomorrowWithUs!

Senior Data Architect

Job Description

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