Data Engineer – Data Architecture
- Location
- Manila, Metro Manila, Philippines
- Salary
- Not specified
- Company
- Akash pawar
Job description
Role & Company / Project Overview: A leading global organization is looking for a dynamic leader as a Data Architect or Senior Data Engineer to drive enterprise digital transformation, cloud migrations, and real-time data platform modernization by designing next-generation, cloud-native data ecosystems. Key Responsibilities & Daily Duties: • Lead end-to-end data architecture for large-scale modernization and digital transformation programs. • Design and implement modern data platforms using cloud-native services (Azure, AWS, GCP) including lakehouses, streaming pipelines, and orchestration frameworks. • Define and drive adoption of modern architecture patterns such as Data Mesh, Data Fabric, Data Virtualization, and Knowledge Graphs. • Drive the adoption of modern data stacks: Spark, Databricks, Snowflake, Synapse, BigQuery, Kafka, dbt, Delta Lake, etc. • Develop logical and physical data models to support structured, semi-structured, and unstructured data. • Define and implement strategies for data governance, metadata management, DataOps, Data security, and access controls. • Collaborate with data engineers, product owners, and AI/ML teams to translate requirements into scalable data solutions. Required Qualifications, Skills & Experience: • 10+ years of experience in data architecture and engineering roles (Minimum 5 years required). • Hands-on experience with at least one major cloud platform (Azure, AWS, GCP) or emerging platforms like IOMETE. • Expertise in modern data warehousing and lakehouse platforms: Snowflake, Databricks, Synapse, Redshift, or BigQuery. • Deep knowledge of data integration and ETL/ELT tools (e.g., dbt, Azure Data Factory, Glue, Airflow) and streaming platforms (Kafka, Spark Structured Streaming). • Experience with data cataloging and discovery tools (Collibra, Alation, Purview, etc.) and CI/CD DataOps pipelines. • Excellent communication skills and ability to engage effectively with technical and business stakeholders. • Must be amenable to working onsite in Manila on a shifting schedule. Working Hours, Shifts & Location Details: • Location: Onsite in Manila, Philippines • Work Schedule: Shifting Schedule Application Instructions: Please send your updated CV (in PDF format) along with answers to the pre-screening questions (Years of relevant hands-on experience in Data Architecture/Engineering, last drawn salary, expected salary, and amenability to working onsite in Manila on a shifting schedule) to the designated contact email.