Senior Data Engineer/Architect
13 hours ago
Bright Venture Partners, Philippines
is looking for brilliant, kind, and driven individuals to join our team
Be part of the trusted consulting partner of the country's most ambitious businesses, driving transformation and delivering impact across research & analytics, brand development, and enterprise software.
THE ROLE
As the
Senior Data Engineer / Architect,
you will design and implement data infrastructures that enable our clients to maximize the value of their data. You will collaborate with client stakeholders, analytics teams, and cross-functional partners to modernize data ecosystems that align with the client's long-term data strategy and strengthen their ability to deliver reliable reporting, advanced analytics, and data-driven decisions.
KEY RESPONSIBILITIES
Data Architecture & Strategy
- Assess and modernize client data ecosystems by designing scalable data architectures and implementing end-to-end strategies—from ingestion and storage to transformation, modeling, and consumption.
- Define best practices for data management, governance, and quality to strengthen trust, consistency, and accessibility of data across the organization.
- Guide clients through key technology decisions such as cloud migrations, lakehouse adoption, and data warehouse modernization to optimize performance, interoperability, and cost efficiency.
Data Engineering & Implementation
- Build and maintain robust ETL/ELT pipelines that integrate diverse data sources such as operational systems, external data sources, and APIs.
- Design and implement scalable data models that align with business logic and analytical needs, enabling consistent metrics, efficient querying, and a unified single source of truth.
- Establish monitoring, testing, and alerting frameworks that maintain data reliability and lineage transparency, enabling auditability, and continuous improvement of data processes.
Client Partnership & Delivery
- Partner closely with client stakeholders to translate business priorities, data challenges, and use cases into technical architecture requirements and data engineering roadmaps.
- Embed within client teams to ensure solutions are pragmatic, sustainable, and fully integrated into operational workflows.
- Communicate complex technical concepts in clear, actionable terms for non-technical audiences, helping clients make informed decisions.
- Oversee technical delivery across projects, ensuring engineering outputs are high-quality, aligned with client expectations, and grounded in business value.
- Engage with potential clients during project scoping to define data architecture approaches, timelines, and resource requirements.
REQUIRED SKILLS AND QUALIFICATIONS
- 4+ years of experience in data engineering, architecture, or related roles, with a proven track record of delivering scalable data systems
- Strong expertise in modern cloud data platforms (e.g. BigQuery, Snowflake, Databricks, Redshift).
- Advanced proficiency in SQL and or any programming language (e.g., Python, Scala) for building data pipelines and automation frameworks.
- Deep understanding of data modeling, schema design, and ETL/ELT orchestration within modern architectures such as the medallion framework
- Experience implementing data governance, cataloging, and lineage frameworks within complex organizations.
- Strong communication, client management, and problem-solving skills, with the ability to bridge business needs and technical design.
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