Data Architect {Data Landscape & Lakehouse}

NCS Group; Taguig; Hybrid; PHP 2,200,000 - 4,200,000; Full time

Job summary

NCS Group is seeking a Senior Data Architect to design and govern its enterprise data landscape with a strong focus on modern data lakehouse architecture. The role emphasizes scalable, secure data platforms to support reporting, analytics, and AI/ML initiatives, combining strategic thinking with hands-on cloud experience.

The candidate will define enterprise architecture, lead data integration, and ensure data quality, privacy, and regulatory compliance across distributed systems.

Qualifications

• Bachelor's degree in a relevant field such as Computer Science, Data Engineering, or Information Systems.
• 2+ years designing and implementing data lakehouse or modern data architectures.
• Experience governing enterprise data landscapes and leading data platform modernization.

Responsibilities

• Define enterprise data architecture and target-state data landscape.
• Design data lakehouse architectures supporting structured and unstructured data.
• Lead modernization from legacy warehouses to lakehouse platforms.
• Establish architecture standards, patterns, and best practices.

Skills

Architectural leadership

Stakeholder communication

SQL & Python/Scala

Cloud strategy & governance

Education

Bachelor's degree in CS/IS or related

Tools

Databricks

Delta Lake

Apache Iceberg

AWS/Azure/GCP

Spark

Job description

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

Minimum Qualifications

• 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