Data Engineer (Architect)
# Data Engineer (Architect) **GSS PH Consulting Solutions** · Manila · `On-site` 🕒 **Статус:** *Опубликовано: 6 дней назад* · *Источник: Indeed* --- ### About the Role Job Summary We are seeking an experienced DataArchitect to lead the design and implementation of next-generation data platforms that support advanced analytics, AI/ML, and digital transformation initiatives. The ideal candidate has extensive experience in data architecture, cloud-native technologies, modern data platforms, and real-time data processing, with the ability to deliver scalable, secure, and high-performance enterprise data solutions. Key Responsibilities - Lead end-to-end data architecture and engineering initiatives for large-scale modernization and digital transformation programs. - Design and implement scalable, cloud-native data platforms using Azure, AWS, GCP, or emerging platforms such as IOMETE. - Develop and optimize data pipelines for data generation, collection, integration, processing, and migration across multiple systems. - Design and implement ETL/ELT processes to ensure data quality, consistency, reliability, and accessibility. - Define and implement modern architecture patterns, including data mesh, data fabric, data virtualization, and knowledge graphs. - Drive the adoption of modern data technologies such as Apache Spark, Databricks, Snowflake, Azure Synapse, BigQuery, Kafka, dbt, and Delta Lake. - Develop logical and physical data models for structured, semi-structured, and unstructured data. - Establish data governance, metadata management, master data management, data security, and access control strategies. - Evaluate and recommend data platforms, tools, and frameworks aligned with enterprise architecture standards and business objectives. - Collaborate with data engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. - Integrate modern data platforms with AI/ML solutions and advanced analytics environments. - Implement DevOps, DataOps, and CI/CD practices to improve the deployment, monitoring, and maintenance of data pipelines. Qualifications and Requirements - 10+ years of experience in data architecture, data engineering, or related technical roles. - Hands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP. Experience with IOMETE is also relevant. - Strong expertise in modern data warehousing and lakehouse platforms, including Snowflake, Databricks, Azure Synapse, Amazon Redshift, or BigQuery. - Extensive experience with data integration and ETL/ELT tools such as dbt, Azure Data Factory, AWS Glue, or Apache Airflow. - Experience designing and implementing streaming and real-time data processing solutions using Apache Kafka and Spark Structured Streaming. - Strong understanding of data modeling, data quality frameworks, metadata management, and enterprise data governance. - Familiarity with data mesh, data fabric, data virtualization, and data product concepts. - Experience with data cataloging and discovery tools such as Collibra, Alation, or Microsoft Purview. - Knowledge of DevOps, DataOps, and CI/CD practices for data pipeline development and deployment. - Experience integrating data platforms with AI/ML technologies and advanced analytics solutions. - Excellent communication, problem-solving, technical leadership, and stakeholder management skills. Pay: Php150,000.00 - Php180,000.00 per month Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-30, источник — Indeed.