Data Architect {Data Landscape & Lakehouse}

We are seeking a Senior 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

Required Skills & Capabilities

Core 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