Data Engineer – Data Architecture

Location: Manila, Philippines
Work Setup: Onsite
Shift: Shifting Schedule
Experience: 10+ years in Data Architecture & Engineering
Salary: Confidential – Discussed during the job offer

Job Overview

We are looking for an experienced Data Engineer – Data Architecture to lead the design and implementation of modern, scalable, cloud-native data platforms supporting advanced analytics, AI/ML, and digital transformation initiatives.

Key Responsibilities

• Lead end-to-end data architecture for large-scale modernization and digital transformation programs.

• Design modern data platforms using Azure, AWS, or GCP, including lakehouses, streaming pipelines, and orchestration frameworks.

• Implement modern architecture patterns such as Data Mesh, Data Fabric, Data Virtualization, and Knowledge Graphs.

• Drive adoption of modern data technologies including Spark, Databricks, Snowflake, Synapse, BigQuery, Kafka, dbt, and Delta Lake.

• Develop logical and physical data models for structured, semi-structured, and unstructured data.

• Collaborate with data engineers, product owners, and business stakeholders to deliver scalable data solutions.

• Define and implement data governance, metadata management, master data management, security, and access-control strategies.

• Evaluate and recommend data platforms, tools, and frameworks aligned with enterprise data strategy.

• Support AI/ML platform integration and advanced analytics initiatives.

Required Skills & Experience

• 10+ years of experience in Data Architecture and Data Engineering roles.

• Hands-on experience with at least one major cloud platform: Azure, AWS, or GCP.

• Expertise in modern data warehousing/lakehouse platforms such as Snowflake, Databricks, Synapse, Redshift, or BigQuery.

• Strong knowledge of ETL/ELT and data integration tools such as dbt, Azure Data Factory, Glue, or Airflow.

• Experience with real-time/streaming platforms such as Kafka and Spark Structured Streaming.

• Strong understanding of data modeling, data quality, metadata management, and data governance.

• Familiarity with Data Mesh, Data Fabric, and Data Product concepts.

• Experience with data cataloging/discovery tools such as Collibra, Alation, or Microsoft Purview.

• Knowledge of DevOps, DataOps, and CI/CD for data pipelines.

• Experience integrating AI/ML platforms with modern data ecosystems.

• Excellent communication and stakeholder-management skills.

Important Information

• Onsite work in Manila is mandatory.

• Candidates must be willing to work a shifting schedule.

• Please submit the latest CV in PDF format.

• Salary will be discussed during the job offer.

• Client name should not be included in job postings.

Mandatory Questionnaire

Please complete the questionnaire using the link below:

Questionnaire Link: ​https://myglit.com/lateral/cref/34ba3a57f5

Completion of the questionnaire is mandatory for consideration.