Data Engineer - Data Architecture
Gratitude Inc
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:
Completion of the questionnaire is mandatory for consideration.
150000 - 300000 Php
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