GCP Senior Technical Specialist

• *Job Summary**
• --------------

We are looking for a highly experienced GCP Data Architect to lead the design and implementation of scalable, secure, and high\-performance data platforms on Google Cloud. This role requires deep expertise in modern data architectures, strong hands\-on capability, and the ability to drive enterprise\-level data transformation initiatives.

• *Key Responsibilities**
• -----------------------

• Architect and implement end\-to\-end data platforms on Google Cloud Platform (GCP).
• Design and build scalable batch and real\-time data pipelines using:

o Big Query, Dataflow (Apache Beam), Pub/Sub

* Define and optimize data storage \& processing architectures using

o Big Query, Cloud Storage, Cloud SQL, Fire store

• Lead development of robust data models, data warehouses, and data lakes.
• Establish data governance, quality, security, and compliance frameworks.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into scalable solutions.
• Drive performance optimization, cost efficiency, and reliability across data platforms.
• Provide technical leadership, conduct design reviews, and mentor engineering teams.
• Define and enforce best practices, standards, and reusable frameworks.
• Evaluate and adopt emerging GCP services and modern data architecture patterns.

• *Skill Requirements**
• ---------------------

• *Required Qualifications**

• Bachelor’s/master’s degree in computer science, IT, or related field
• **10\+ years** of experience in Data Engineering / Data Architecture
• **Strong hands\-on expertise in GCP ecosystem**

• *Core Technical Skills (Must\-Have)**

• **GCP Services:**
• + Big Query (Advanced level)

+ Dataflow (Apache Beam)

+ Pub/Sub

+ Cloud Storage

+ Cloud SQL / Fire store

• **Data Engineering \& Architecture:**
• + ETL/ELT pipeline design (batch \& streaming)

+ Data Warehousing \& Data Modeling (Star, Snowflake)

+ Distributed data processing

+ Real\-time data architecture

• **Programming:**
• + Python, SQL (mandatory)
• **Architecture Expertise:**
• + End\-to\-end data platform design

+ Data governance \& security models

+ Metadata, lineage, and cataloging

• *Preferred Skills**

* GCP Certifications

• + Professional Data Engineer / Cloud Architect
• Experience with:
• + Apache Spark / Hadoop ecosystem

+ Machine Learning \& AI pipeline integration

* Exposure to

• + CI/CD, DevOps practices, Terraform

+ Workflow orchestration (Airflow / Cloud Composer)

• *Must Have Skill**
• ------------------

Erwin Data Modeler,GCP BigQuery,GCP Dataflow,MS SQL,Python

• *Good to Have Skill**
• ---------------------

Vertex AI

• *Other Requirements**
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• *Leadership \& Behavioral Competencies**

• Strong ownership and accountability
• Excellent problem\-solving and analytical thinking
• Stakeholder management and executive communication
• Ability to lead teams and drive decisions
• Process\-oriented with focus on scalability and governance

• *Role Expectations**

• Act as **solution owner** for data architecture decisions
• Drive **best practices adaption** across teams
• Ensure **alignment with enterprise data strategy**
• Enable faster and reliable **data\-driven decision\-making**

1\.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.