Data Engineer – Data Architecture
Job Description
Key Skills
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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.
Role
Database Architect/ Designer
Timings
Rotational Shifts (Permanent)
Industry
BPO
Work Mode
Work from office
Process
Voice
Functional Area
IT Software/Hardware
Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.
Interview Tips
- Giving the VNA round?
- What are the most important skills you acquired as a Soft Skills/VNA trainer?
- How would you handle an irate customer?
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