# Industry Platforms - Databricks Senior Consultant | Hybrid - Makati

> Tasq Staffing Solutions, Inc. · Makati City, Philippines (Hybrid) · Full-time · Posted 2026-06-24

**Workplace:** hybrid

**Department:** Philippines - Corporate

## Description

### Position Overview

Industry Platforms & Systems Integration (IP&SI) is our client's trusted delivery practice – bringing together platform expertise, systems integration, modern data foundations, and security-by-design to help clients deliver change faster, with confidence. We connect trusted data, modernise core platforms, and uplift capability to reduce cost and risk while enabling resilient, artificial intelligence (AI)-ready operations.

 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 Senior 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.

## Apply

[Apply at Tasq Staffing Solutions, Inc.](https://apply.workable.com/tasq-work/j/4C5AC86D66/apply)

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