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Open nowFirst seen 2 days ago

Modern Data Platforms - Microsoft Databricks Manager

Cobden & Carter International1,048 open roles

Where
Makati City, Metro Manila, Philippines
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Your applicationOpen nowModern Data Platforms - Microsoft Databricks ManagerCobden & Carter International · Makati City, Metro Manila, Philippines

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Cobden & Carter International postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

Cobden & Carter International median: 1 days open

The posting

Modern Data Platforms - Microsoft Databricks Manager

Position Overview

The MDP Databricks Architect / Consultant / Developer designs, builds and operates modern analytics and data platforms using the Databricks Lakehouse Platform. The role enables organisations to deliver scalable, high-performance, governed data solutions across analytics, business intelligence (BI), data engineering, data science, and artificial intelligence/machine learning (AI/ML) workloads.

Depending on experience and seniority, the role may be hands-on in solution delivery (Developer / Consultant) or lead platform architecture, standards and data strategy (Architect). The role works closely with business stakeholders, data teams, cloud architects and security teams to ensure the platform is secure, cost-effective and enterprise-ready.

Key Responsibilities

  • Design and implement modern data platforms using the Databricks Lakehouse Platform.
  • Build ingestion and transformation pipelines using Databricks Workflows, Apache Spark (PySpark / Spark SQL) and Delta Lake, supporting batch, streaming and near real-time processing.
  • Architect focus: Define and apply platform standards for data ingestion, modelling, data quality and governance; ensure alignment to cloud, security, identity and cost management requirements.
  • Develop and optimise Databricks (Apache Spark) pipelines and Delta Lake models to enable governed data consumption (for example, Power BI/Tableau) and support analytics, data science, and machine learning (ML) use cases.
  • Implement monitoring, performance tuning and cluster optimisation; support CI/CD for notebooks, jobs and data pipelines and contribute to operational runbooks.
  • Collaborate with analysts, data scientists and application teams; advise stakeholders on Databricks capabilities and design trade-offs, and mentor junior team members (where applicable).

Skills, Experience and Competencies

Technical Skills

  • Strong expertise in Databricks Lakehouse Platform.
  • Deep experience with Apache Spark, PySpark, and Spark SQL.
  • Knowledge of Delta Lake, data modelling, and performance tuning.
  • Experience with streaming data (Structured Streaming, Kafka).
  • Understanding of data security, governance, and cost optimisation.

Experience (Role Level Determination)

MDP Databricks Architect

  • 10–15+ years of data and analytics experience.
  • 7–10+ years designing enterprise scale data platforms.
  • Proven experience defining lakehouse architectures and data strategies.

MDP Databricks Consultant

  • 6–9 years of data and analytics experience.
  • 4–6 years delivering modern data platforms using Databricks.
  • Strong delivery, design, and stakeholder engagement skills.

MDP Databricks Developer

  • 4–6 years of overall data / analytics experience.
  • 2–4 years of hands‑on Databricks and Spark experience.
  • Strong focus on development and implementation.

Competencies

  • Early alignment and shaping clarifying use cases, data domains, success measures and non-functional requirements, then translating them into a practical Databricks delivery plan.
  • Governance and controlled change applying standards and change control (with impact assessment) across notebooks, jobs, pipelines, data models and environments.
  • Trusted data, quality by design building Delta Lake pipelines and models with validation, testing, lineage and reconciliation to support analytics and artificial intelligence/machine learning (AI/ML).
  • Standardise use patterns, templates and accelerators (including CI/CD and infrastructure as code where relevant) to improve speed and consistency.
  • Transparent delivery and operational discipline communicating progress and risks clearly, implement monitoring and observability, and optimising cost and performance for stable operations.

Qualifications and Certifications

  • Databricks Certified Data Engineer (Associate / Professional)
  • Databricks Certified Data Architect (role dependent).
  • Cloud platform certifications (Microsoft Azure / Amazon Web Services desirable).

What Success Looks Like

  • Databricks is established as a scalable and high-performance modern data platform.
  • Data pipelines are reliable, efficient and easy to maintain, and analytics and AI/ML workloads run on governed datasets.
  • Data is secure, trusted, and widely adopted across the organisation.
  • Platform costs and performance are optimised, and Databricks is positioned as a strategic lakehouse foundation.

Additional Requirements & Eligibility

  • Right to work in the Philippines: must hold (and maintain) the appropriate visa/work authorisation for the role and assignment length.
  • Hold a current passport suitable for business travel (including the ability to obtain visas as required) and be willing to travel where needed.
  • Satisfy company's background screening and any client-specific screening requirements (which may include identity, criminal history, qualification, professional membership and other checks).
  • Provide required onboarding documentation as requested by People & Inclusion.

Work Setup:

Shift: Dayshift

Setup: Hybrid

Location: Makati City

By Applying, you give consent to collect, store, and/or process personal and/or sensitive information for the purpose of recruitment and employment may it be internal to Cobden & Carter International and/or to its clients.

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