GCP Data Lead

Technical Leadership

Lead the design and implementation of scalable data solutions on GCP.

Define data architecture, data models, and enterprise data integration strategies.

Establish data engineering best practices, coding standards, and governance frameworks.

Provide technical guidance and mentorship to data engineers and developers.

Data Engineering & Development

Design and develop data pipelines using GCP services such as: BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Cloud Storage

Cloud Functions

Build and optimize ETL/ELT processes for batch and real-time data processing.

Implement data quality, validation, and monitoring frameworks.

Support & Operations

Manage production support activities and incident resolution.

Perform root cause analysis and implement preventive measures.

Monitor platform performance, availability, and cost optimization.

Ensure compliance with SLAs and operational excellence standards.

Stakeholder Management

Collaborate with business stakeholders, architects, and project managers.

Translate business requirements into scalable technical solutions.

Drive technical discussions, architecture reviews, and solution recommendations.

Prepare status reports and communicate project progress to leadership.

Data Governance & Security

Implement data security controls and compliance requirements.

Ensure adherence to data governance policies.

Manage access controls, encryption, and auditing mechanisms.

Required Skills

Google Cloud Platform (Mandatory)

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer (Airflow)

Cloud Storage

IAM & Security

Data Engineering

SQL (Advanced)

Python

ETL/ELT Development

Data Modeling

Data Warehousing Concepts

Data Quality Frameworks

Database Technologies

SQL Server

Oracle

PostgreSQL

Snowflake (preferred)

DevOps & CI/CD

Git

Jenkins / GitHub Actions

Terraform (preferred)

Infrastructure as Code concepts

Leadership Skills

Team leadership and mentoring

Stakeholder management

Resource planning and estimation

Agile/Scrum delivery model

Preferred Qualifications

Bachelor's or Master's Degree in Computer Science, IT, Engineering, or related field.

Google Cloud Professional Data Engineer Certification.

Experience in cloud migration and modernization programs.

Experience working in Banking, Financial Services, Insurance, Retail, or Healthcare domains is preferred.

Experience Requirements

10+ years in Data Engineering/Data Warehousing.

5+ years of hands-on experience in GCP Data Platform implementations.

Experience leading teams of 5+ data engineers.

Experience managing production support and enhancement projects.

Spark/PySpark

Kafka

Looker

Tableau

Power BI

Machine Learning and AI/ML integration on GCP

Data Governance tools such as Collibra or Alation

Key Competencies

Technical Leadership

Problem Solving

Analytical Thinking

Communication Skills

Customer Focus

Performance Management

Risk Management

NA

NA