Data Architect (Data Modeller)

Novare; Philippines; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

Novare is seeking a Data Solutions Architect to design and lead enterprise data platforms and integration frameworks. You will define data flows across systems, ensuring interoperability, security, and scalability in a cloud-native environment.

You will architect core data components, drive real-time streaming adoption, and collaborate with engineers and business teams to deliver integrated solutions across multiple brands and regions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of experience in data engineering, solutions architecture, or platform integration.
• Hands-on expertise with cloud platforms (AWS) and data platforms (Databricks, Snowflake, Kafka/Confluent, Delta Lake).
• Strong knowledge of integration patterns (ETL/ELT, CDC, APIs, streaming).
• Experience with data orchestration frameworks like Dagster, Airflow, or dbt.
• Proven experience designing secure and compliant architectures.
• Excellent communication and stakeholder management skills.

Responsibilities

• Define and evolve the enterprise data platform architecture, including data lakehouses, data meshes, and hybrid cloud solutions.
• Architect core data components, from ingestion and processing to storage and APIs.
• Ensure our data platforms (Databricks, Snowflake, Kafka/Confluent, Delta Lake) are fully integrated as a unified ecosystem.
• Establish standards for scalability, resilience, and cost optimization in all platform designs.
• Design frameworks for connecting data across internal and external systems (ERP, POS, e-commerce, CRM, MarTech).
• Define patterns for batch, streaming, and API-driven integrations, ensuring consistency across brands and regions.
• Collaborate with application architects to ensure cross-platform data exchange and orchestration.
• Drive the adoption of real-time event streaming for customer engagement and operational use cases.
• Embed data security, privacy, and compliance into all integrations.
• Partner with governance teams to enforce metadata management, data lineage, and auditability at the integration layer.
• Work closely with data engineers, cloud engineers, and business teams to deliver integrated solutions.
• Provide architectural guidance on solution design, vendor onboarding, and platform scaling initiatives.
• Act as the SME on integration technologies, including Confluent, API gateways, and orchestration tools.
• Mentor teams on best practices for platform usage, API management, and event-driven architectures.
• Continuously assess emerging integration tools and cloud-native services to determine their value.
• Lead platform modernization initiatives to support AI/ML readiness, real-time personalization, and advanced analytics.
• Optimize compute and storage costs by recommending the right architectural patterns and workload placements.

Skills

Cloud architecture

Data streaming

Leadership

Stakeholder management

Security/compliance

API design

Real-time analytics

Education

Bachelor's or Master's in CS or related field

Tools

AWS

Databricks

Snowflake

Kafka/Confluent

Delta Lake

Dagster

Airflow

dbt

Job description

We are seeking a Data Solutions Architect to design and lead the implementation of our enterprise-wide data platforms and integration frameworks. In this role, you will define how data flows across our systems, ensuring interoperability between tools and enabling a scalable, secure, and modern data platform.

You are an expert in cloud-native data platforms, integration patterns, APIs, and real-time data streaming. You have a proven ability to balance complex technical design with core business needs.

Key Responsibilities

• Define and evolve the enterprise data platform architecture, including data lakehouses, data meshes, and hybrid cloud solutions.
• Architect core data components, from ingestion and processing to storage and APIs.
• Ensure our data platforms (e.g., Databricks, Snowflake, Confluent, Atlan) are fully integrated, functioning as a unified ecosystem.
• Establish standards for scalability, resilience, and cost optimization in all platform designs.
• Design frameworks for connecting data across internal and external systems (e.g., ERP, POS, e-commerce, CRM, MarTech).
• Define patterns for batch, streaming, and API-driven integrations, ensuring consistency across brands and regions.
• Collaborate with application architects to ensure seamless cross-platform data exchange and orchestration.
• Drive the adoption of real-time event streaming for customer engagement and operational use cases.

Governance & Security

• Embed data security, privacy, and compliance (e.g., encryption, tokenization, access control) into all integrations.
• Partner with governance teams to enforce metadata management, data lineage, and auditability at the integration layer.
• Work closely with data engineers, cloud engineers, and business teams to deliver integrated solutions.
• Provide architectural guidance on solution design, vendor onboarding, and platform scaling initiatives.
• Act as the subject matter expert on integration technologies, including Confluent, API gateways, and orchestration tools.
• Mentor teams on best practices for platform usage, API management, and event-driven architectures.
• Continuously assess emerging integration tools and cloud-native services to determine their value.
• Lead platform modernization initiatives to support AI/ML readiness, real-time personalization, and advanced analytics.
• Optimize compute and storage costs by recommending the right architectural patterns and workload placements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of experience in data engineering, solutions architecture, or platform integration.
• Hands-on expertise with cloud platforms (AWS) and data platforms (Databricks, Snowflake, Kafka/Confluent, Delta Lake).
• Strong knowledge of integration patterns (ETL/ELT, CDC, APIs, streaming).
• Experience with data orchestration frameworks like Dagster, Airflow, or dbt.
• Proven experience designing secure and compliant architectures.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with multi-brand, multi-region platform rollouts.
• Familiarity with metadata management tools (Atlan, Collibra, Purview).
• Knowledge of event-driven design patterns and microservices integration.
• Background in QSR, retail, or financial services is a plus.