Data Architect [Data Lakehouse]

NCS Group; Taguig; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

NCS Group is seeking a Data Architect based in Taguig, Philippines. This role involves defining enterprise data architecture and implementing modern data solutions through a data lakehouse framework.

The ideal candidate will have expertise in cloud platforms, data processing, and governance. Responsibilities include overseeing data integration, security, and analytics enablement, while also mentoring technical teams.

Qualifications

• Experience in data architecture or data engineering.
• 2+ years designing and implementing data lakehouse solutions.
• Proven experience managing complex enterprise data landscapes.

Responsibilities

• Define and own the enterprise data architecture and target-state data landscape.
• Architect batch and real-time data ingestion pipelines.
• Define and enforce data governance, quality, and lineage standards.
• Enable BI, analytics, and AI/ML workloads through optimized data models.
• Provide architectural guidance and design reviews.

Skills

Data Lakehouse platforms

Cloud platforms (AWS, Azure, or GCP)

Distributed data processing (Apache Spark)

Streaming & ingestion (Kafka or equivalent)

Advanced SQL

Python or Scala

Job description

Overview

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 & 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