Data Architect

ATS CONSULTING SERVICES PH INC.; Taguig; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

ATS CONSULTING SERVICES PH INC. is seeking a data architecture professional in Metro Manila to drive data warehousing implementation and robust data modeling for both operational and analytical systems. The role requires strong communication, autonomy, and teamwork, with leverage of Agile methodologies.

The ideal candidate will design scalable data architectures, engage stakeholders, and guide data governance, ensuring accurate, accessible data solutions across platforms.

Qualifications

• Knowledgeable on data warehousing implementation.
• Proficient in data modeling for both operational and analytical systems.
• Able to communicate effectively.
• Ability to work independently with minimal supervision or with a team as needed.
• Knowledge of SDLC with emphasis on design phase or Agile methodologies.
• Excellent communication, leadership and collaboration.

Responsibilities

• Create and review data models and mappings to support business needs.
• Collaborate with stakeholders to ensure data solutions meet requirements.
• Design and optimize data architecture processes and workflows.
• Maintain documentation, data dictionaries, metadata and data lineage.
• Mentor and develop team members to grow data capabilities.

Skills

Data Modeling

Data Warehousing

Data Integration

Cloud Technologies

Database Technologies

SDLC & Agile

Job description

• Should be knowledgeable on data warehousing implementation
• Should be proficient in data modeling for both operational systems and analytical systems
• Must be able to communicate effectively
• Should possess the ability to work independently with minimal supervision or with a team depending on the scenario.
• Knowledge on SDLC with emphasis on design phase or any other Agile methodologies
• Excellent communication
• Excellent leadership
• Collaboration

Hard SKills

• Data Modeling
• Database Technologies
• Data Warehousing
• Data Integration
• Cloud Technologies

COMPETENCIES

• Data Design: Ability to create and review data models and mappings
• Stakeholder Engagement: Collaborative skills to engage with business stakeholders.
• Process Improvement: Expertise in optimizing data architecture processes and workflows.
• Data modeling: The ability to design and create a conceptual, logical, and physical representation of data. These skills are crucial for organizing data effectively within a database. a data warehouse or a data lake, ensuring it's accurate, consistent, and easily accessible.
• Data mapping: A core part of data management that involve the ability to define relationships between data fields from different sources. This is crucial for ensuring that data remains accurate, consistent, and usable during processes like data migration, data integration, and data warehousing.
• Stakeholder Engagement: Collaborate with business stakeholders to understand their data requirements and ensure data solutions meet their needs.
• Process Improvement: Continuously improve data architecture experience and processes, implement sound practices, and optimize workflows for efficiency.
• Documentation Oversight: Ensure the maintenance of documentation, data dictionaries, metadata and data lineage within the team.
• Talent Development: Foster the professional growth of team members through mentoring, training, and skill development.

KPIs:

• Data Model Completeness: Measure the completeness of a design against the requirements.
• Design Review Success Rate: Assess efficient resource allocation
• Stakeholder Satisfaction: Evaluate stakeholder feedback on data solutions.
• Process Efficiency: Track improvements in data architecture processes.
• Budget Adherence: Ensure data-related projects stay within budget.
• Adherence to Data Governance Policies: The degree to which data models and processes comply with data governance policies, which can be measured by the number of policy exceptions or compliance violations.

Data Mapping accuracy rate: Measure the correctness of the logic implemented in the data design

TOP 3-5 DELIVERABLES:

• Design Accuracy, Efficiency, and Compliance: Correct and optimized design that supports business objectives and adheres to project budget while ensuring compliance with governance policies.
• Project Execution: Successful completion of data architecture projects within timelines and budgets.
• Stakeholder Alignment: Data solutions that meet business requirements.
• Process Optimization: Streamlined data architecture processes and workflows.

Budget Oversight: Effective budget management for data-related initiatives