Modern Data Architect (Cloud, AI & Analytics)

Accenture; Metro Manila; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Accenture is seeking a Modern Data Architect to design and deliver cloud-native data platforms enabling advanced analytics, AI/ML, and digital transformation. You will drive data architecture strategy, build scalable, secure data solutions, and collaborate with cross-functional teams to unlock business value through data.

The role requires hands-on experience with Databricks, Snowflake, Synapse, and real-time streaming technologies, with a focus on data modeling and governance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience in Data Architecture, Data Engineering, or related roles.
• Strong experience with cloud platforms such as Azure, AWS, or GCP.
• Hands-on expertise with modern data platforms including Databricks, Snowflake, Synapse, BigQuery, or Redshift.
• Experience with ETL/ELT tools and frameworks such as Azure Data Factory, Airflow, dbt, or AWS Glue.
• Knowledge of real-time data processing and streaming technologies such as Kafka and Spark Structured Streaming.
• Strong understanding of data modeling, data governance, metadata management, and data quality practices.
• Experience integrating data platforms with analytics, AI, and machine learning solutions.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, develop, and maintain modern data platforms and architectures that support enterprise data and analytics needs.
• Create and optimize data pipelines, ETL/ELT processes, and real-time streaming solutions for large-scale data environments.
• Architect cloud-native data ecosystems using platforms such as Azure, AWS, or GCP.
• Develop logical and physical data models for structured, semi-structured, and unstructured data sources.
• Implement data governance, metadata management, master data management, and data quality frameworks.
• Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable data solutions.
• Evaluate, recommend, and implement modern data technologies, tools, and frameworks aligned with enterprise strategy.
• Ensure data security, compliance, reliability, and performance across data platforms.
• Drive adoption of modern architecture patterns such as Data Mesh, Data Fabric, Data Virtualization, and Lakehouse architectures.

Skills

Data architecture

Cloud data platforms

Stakeholder communication

Cross-functional collaboration

Data governance

Education

Bachelor's degree in CS/IT/Engineering

Tools

Databricks

Snowflake

Synapse

BigQuery

Redshift

Azure Data Factory

Airflow

dbt

Kafka

Spark Structured Streaming

Job description

Modern Data Architect

Job Summary
We are seeking a Modern Data Architect to design and deliver next-generation, cloud-native data platforms that enable advanced analytics, AI/ML, and digital transformation initiatives. This role will drive data architecture strategy, build scalable and secure data solutions, and collaborate with cross-functional teams to unlock business value through data.

Key Responsibilities

• Design, develop, and maintain modern data platforms and architectures that support enterprise data and analytics needs.

• Create and optimize data pipelines, ETL/ELT processes, and real-time streaming solutions for large-scale data environments.

• Architect cloud-native data ecosystems using platforms such as Azure, AWS, or GCP.

• Develop logical and physical data models for structured, semi-structured, and unstructured data sources.

• Implement data governance, metadata management, master data management, and data quality frameworks.

• Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable data solutions.

• Evaluate, recommend, and implement modern data technologies, tools, and frameworks aligned with enterprise strategy.

• Ensure data security, compliance, reliability, and performance across data platforms.

• Drive adoption of modern architecture patterns such as Data Mesh, Data Fabric, Data Virtualization, and Lakehouse architectures.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• At least 5 years of experience in Data Architecture, Data Engineering, or related roles.

• Strong experience with cloud platforms such as Azure, AWS, or GCP.

• Hands‑on expertise with modern data platforms including Databricks, Snowflake, Synapse, BigQuery, or Redshift.

• Experience with ETL/ELT tools and frameworks such as Azure Data Factory, Airflow, dbt, or AWS Glue.

• Knowledge of real-time data processing and streaming technologies such as Kafka and Spark Structured Streaming.

• Strong understanding of data modeling, data governance, metadata management, and data quality practices.

• Experience integrating data platforms with analytics, AI, and machine learning solutions.

• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with DataOps, DevOps, and CI/CD practices for data pipelines.

• Familiarity with data catalog and governance tools such as Collibra, Alation, or Microsoft Purview.

• Exposure to AI/ML platforms and modern analytics ecosystems.

• Experience leading data modernization and digital transformation initiatives.