We are seeking a Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.
Key Responsibilities
Data Architecture & Platform Design
Define and own the enterprise data architecture and target-state data landscape
Design and implement data lakehouse architectures supporting structured and unstructured data
Lead modernization from legacy data warehouses to lakehouse-based platforms
Establish architecture standards, patterns, and best practices
Data Integration & Processing
Architect batch and real-time data ingestion pipelines
Design scalable data processing frameworks using distributed compute
Integrate data from transactional systems, APIs, and third-party sources
Ensure data reliability, performance, and cost efficiency
Governance, Quality & Security
Define and enforce data governance, quality, and lineage standards
Architect secure data access models including role-based access control
Ensure data privacy and regulatory compliance through design
Implement metadata management and auditing capabilities
Analytics Enablement
Enable BI, analytics, and AI/ML workloads through optimized data models
Support self-service analytics and standardized semantic layers
Partner with data engineers, analysts, and business stakeholders
Technical Leadership
Provide architectural guidance and design reviews
Mentor data engineers and technical teams
Translate business requirements into scalable data solutions
Minimum Qualifications
Required Skills & CapabilitiesCore Technical Skills
- Data Lakehouse platforms (e.g., Databricks, Delta Lake, Apache Iceberg) - Any
- Cloud platforms (AWS, Azure, or GCP)
- Distributed data processing (Apache Spark)
- Streaming & ingestion (Kafka or equivalent)
- Advanced SQL and Python or Scala
Architecture & Design
- Enterprise data architecture and reference modeling
- Data modeling (dimensional and analytical models)
- End-to-end data pipeline design
- Performance optimization and cloud cost management
- Governance & Security
Data governance and metadata management
- Data quality frameworks
- Security and access control design
- Regulatory-aware data architecture
Experience & Qualifications
- Experience in data architecture or data engineering
- 2+ years designing and implementing data lakehouse solutions
- Proven experience managing complex enterprise data landscapes
- Willing to do hybrid set up in BGC Taguig
