Lead Solution Designer - Data & Analytics

IGO TECHONOLOGIES; Taguig; Hybrid; PHP 900,000 - 1,700,000; Full time

Job summary

IGO TECHNOLOGIES is seeking a senior Data Engineer to lead AWS-based data platform initiatives. You will design, implement, and optimize data architectures for scalable, secure, and high-performance data solutions.

You will work with business partners and cross-functional teams to translate requirements into technical strategies, building Data Lakehouse, Data Warehouse, and Analytics solutions with hands-on coding and governance practices.

Qualifications

• 10+ years in data engineering, solution design, and enterprise data architecture on AWS.
• Proven track record designing AWS data services and data patterns.
• Expertise in Data Lakehouse, Data Warehouse, and Master Data Management.
• Strong communication with technical and non-technical stakeholders.
• Experience with multi-disciplinary teams aligning data strategies with business goals.
• Hands-on PySpark design, building, and optimizing batch/streaming pipelines on AWS.
• Proficiency with workflow orchestration for complex pipelines.
• Ability to optimize cloud costs in large-scale data environments.
• CI/CD-driven deployment and management of AWS data infra.
• Leadership in mentoring data engineering teams.

Responsibilities

• Lead implementation and delivery of data solutions using AWS core services.
• Ensure AWS data systems meet performance, scale and security targets.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Develop data management strategies: Data Lakehouse, Warehousing, MDM, analytics.
• Hands-on architecture, coding and deployment of critical data systems.
• Monitor system health and optimize platform performance.

Skills

AWS

PySpark

Data engineering

Data architecture

S3

Redshift

Glue

Lambda

Data governance

CI/CD

Data Lakehouse

AWS security

Tools

Airflow

Spark

Python

SQL

Job description

About the role

The position plays a pivotal role within our evolving Data Engineering team, leading the strategic implementation of data solutions on AWS. You will be responsible for driving the technical vision and execution of cloud-based data architectures, ensuring the platform's scalability, security, and performance while addressing both business and technical requirements. This role demands a hands-on leader role with deep technical expertise who can also steer strategic initiatives to success.

Key responsibilities

• Spearhead the implementation, performance fine-tuning, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance and Integration.
• Oversee all technical aspects of AWS-based data systems, ensuring end-to-end delivery.
• Coordinate with multiple stakeholders to ensure timely implementation and effective value realization.
• Continuously enhance the D&A platform to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies.
• Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions.
• Develop and implement data management strategies, including Data Lakehouse, Data Warehousing, Master Data Management, and Advanced Analytics solutions.
• Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deployment of critical data systems.
• Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed.
• Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes.
• Advocate for the use of best practices in data engineering, governance, and AWS cloud technologies, advising on the latest tools and standards.

About you

• 10+ years of hands-on experience in data engineering, solution design, and enterprise data architecture with deep AWS expertise and demonstrated leadership in large-scale data initiatives.
• Proven experience designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, Lambda, etc.) and a solid understanding of data service design patterns.
• Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
• Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
• Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
• Demonstrated expertise and hands-on proficiency in PySpark for designing, building, and optimizing large-scale batch and streaming data pipelines on AWS.
• Proficiency in workflow orchestration platforms for designing the scheduling, monitoring, and managing complex data pipelines and dependencies.
• Ability to optimize cloud costs and resource utilization in large-scale data environments without compromising performance.
• Proficiency in CI/CD-driven deployment and management of AWS data infrastructure.
• Lead, mentor, and develop data engineering teams, fostering technical excellence, knowledge sharing, and career growth within the organization.