Senior Data Architect

Siemens
Posted on
Siemens logo

Experience
10 - 15 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Architect
Job Type
ONSITE

Job Description

We are looking for: Senior Software Architect - (Data Architect)
You'll 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.
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.

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