Senior Data Architect

Neoware; Hinoba-an; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Neoware seeks a Technical Project Manager for Data Engineering, Data Warehousing, and Cloud Data Modernization to lead enterprise data architectures and governance. You will drive data modeling across domains, oversee MDM strategies, and collaborate with cross-functional teams to deliver scalable data solutions.

Ideal candidates bring deep experience in data lakes/warehouses (Snowflake, BigQuery), streaming (Kafka, Pub/Sub), and cloud platforms (AWS, GCP, Azure), combined with strong leadership

Qualifications

• 12-20 years of experience in enterprise data architecture, data strategy, and cloud architecture.
• Expertise with real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM and transactional data flows.
• Strong background in data modeling with domain-driven design (DDD).
• Experience selecting, implementing, and scaling MDM solutions with governance adoption.
• Establishing reference data management and data quality at enterprise scale.
• Knowledge of data lakes, warehouses (Snowflake, BigQuery), BI/reporting, and ETL pipelines.
• Public cloud proficiency across AWS, GCP, Azure; RDBMS and cloud-native databases.
• Familiarity with Tableau, Data Studio, Business Objects, Cognos, or R for analytics.
• TOGAF architecture methodology; strong leadership and stakeholder management.

Responsibilities

• Define and implement enterprise data architecture aligned with operational and analytical needs.
• Lead domain-driven data modeling across conceptual, logical, and physical layers.
• Define and oversee MDM strategies, tool selection, and enterprise adoption.
• Establish and maintain reference data management frameworks and governance processes.
• Develop data strategies including governance, metadata, privacy, and integration.
• Lead design/review of data architectures for operational and analytical platforms.
• Establish and enforce data architecture standards and best practices.
• Drive governance, data quality, and remediation of technical debt.
• Collaborate with application, integration, and analytics teams to deliver end-to-end data solutions.
• Evaluate tools for operational integration and analytical processing.
• Design conceptual/logical/domain models for transactional and analytical data.
• Mentor teams in data architecture and BI best practices.

Skills

Data architecture

Data modeling

MDM strategies

Cloud architecture

Stakeholder mgmt

Leadership

Communication

Education

Bachelor's degree in engineering/CS

Master's preferred

Certifications (CDMP / Cloud Architect)

Tools

Kafka

Pub/Sub

MQ

Snowflake

BigQuery

Tableau

Power BI

TOGAF

Job description

• 12-20 years of experience in enterprise data architecture, data strategy, and cloud architecture
• Expertise in operational data use cases: real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM, and transactional data flows
• Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD)
• Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption
• Experience establishing reference data management and data quality practices at enterprise scale
• Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines
• Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure)
• Experience with both transactional RDBMS and modern distributed/cloud-native databases
• Familiarity with reporting and analytics tools (e.g., Tableau, Data Studio, Business Objects, Cognos, R)
• Skilled in architecture methodologies such as TOGAF
• Excellent communication, stakeholder management, and leadership skills
• Bachelor’s degree in engineering, Computer Science, or related field (Master’s preferred) Professional certifications such as CDMP (DAMA), Google Cloud Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, or equivalent

Responsibilities

• Define and implement enterprise data architecture, ensuring alignment with both operational and analytical business needs
• Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes
• Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise
• Establish and maintain reference data management frameworks and governance processes
• Develop and execute data strategies, including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration
• Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting)
• Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains
• Drive adoption of governance frameworks, data quality practices, and remediation of technical debt
• Collaborate with application, integration, and analytics teams to deliver end-to-end data solutions
• Evaluate and select tools for operational integration (streaming, APIs, MDM) and analytical processing (warehouses, BI platforms)
• Design and maintain conceptual, logical, and domain models spanning both transactional and analytical data
• Mentor and guide teams in data architecture, integration, and business intelligence best practices

Technical Project Manager – Data Engineering, Data Warehousing & Cloud Data Modernization