Data Architect

Rising Tide Digital, Inc.; Mandaluyong; On-site; PHP 1,000,000 - 2,000,000; Full time

Job summary

Rising Tide Digital, Inc. is seeking an experienced Data Architect to design, develop, and manage our data architecture in a hybrid Mandaluyong setup. You will align data models with business needs and guide data lake/warehouse initiatives across teams.

Responsibilities include building scalable data pipelines, ensuring governance and security, and collaborating with analytics and IT. Strong SQL, Python, Spark, Kafka, dbt expertise is required, with cloud experience a plus.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• 8+ years in Data Architecture, Data Engineering, or Enterprise Data Management.
• Strong experience with data modeling, ETL/ELT, and data integration.
• Experience with Snowflake, Redshift, BigQuery, or similar data platforms.
• Proficient in SQL, Python, Spark, Kafka, and dbt.
• Experience with AWS, Azure, or Google Cloud is an advantage.

Responsibilities

• Design and maintain enterprise data architecture.
• Develop conceptual, logical, and physical data models.
• Build and optimize data lakes, data warehouses, and data pipelines.
• Ensure data quality, security, governance, and compliance.
• Collaborate with business, analytics, and IT teams to deliver data solutions.
• Support cloud data platforms, integrations, and AI/ML initiatives.
• Document data architecture standards and best practices.

Skills

Data modeling

ETL/ELT

Data integration

SQL

Python

Spark

Kafka

dbt

Analytical skills

Communication

Problem-solving

Education

Bachelor's degree

Tools

Snowflake

Redshift

BigQuery

AWS

Azure

Google Cloud

Job description

Data Architect

Location: Mandaluyong City (Hybrid)
Schedule: Day Shift (8:30 AM – 5:30 PM)

We are looking for an experienced Data Architect to design, develop, and manage the organization's data architecture. You will work closely with business and IT teams to build secure, scalable, and reliable data solutions that support business operations and decision-making.

Responsibilities

• Design and maintain enterprise data architecture.


• Develop conceptual, logical, and physical data models.


• Build and optimize data lakes, data warehouses, and data pipelines.


• Ensure data quality, security, governance, and compliance.


• Collaborate with business, analytics, and IT teams to deliver data solutions.


• Support cloud data platforms, integrations, and AI/ML initiatives.


• Document data architecture standards and best practices.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.


• At least 8 years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.


• Strong experience with data modeling, ETL/ELT, and data integration.


• Experience with Snowflake, Redshift, BigQuery, or similar data platforms.


• Proficient in SQL, Python, Spark, Kafka, and dbt.


• Experience with AWS, Azure, or Google Cloud is an advantage.


• Strong analytical, communication, and problem-solving skills.

If you're passionate about building modern data solutions and driving data-driven decision-making, we'd love to hear from you!