Job Ref :- 842 | Sr. Data Engineer | GCP | Hybrid | Outside IR35)

Apply via LinkedIn or Email CV :-HR@AGITCONSULTANCY.CO.UK

Lead Data Architect / Senior Data Engineer (10+ Years Experience)

Professional Summary

Results-driven Lead Data Architect / Senior Data Engineer with 10+ years of experience in designing, building, and optimizing scalable data platforms and pipelines on Google Cloud Platform (GCP).

Combines strong architectural expertise with hands-on engineering capabilities, specializing in data warehousing, big data processing, streaming & batch pipelines, and cloud-native solutions. Proven ability to lead teams, define enterprise data strategies, and deliver end-to-end data solutions, including large-scale data migrations from legacy systems (SAP, Oracle, Teradata) to BigQuery.

Experienced in enabling data governance, advanced analytics, and AI/ML-driven solutions, while ensuring high standards in performance, scalability, and security.

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Core Competencies

• Enterprise Data Architecture & Strategy

• ETL/ELT Pipeline Design & Optimization

• Data Warehousing & Data Modeling (OLAP/OLTP)

• Big Data & Distributed Data Processing

• Streaming & Batch Data Pipelines

• Data Governance, Quality & Security

• Cloud Data Engineering (GCP)

• Data Migration & Modernization

• Technical Leadership & Team Mentorship

• Agile Delivery & CI/CD Practices

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Technical Skills

Programming & Query Languages

• Python

• SQL

GCP Services

• BigQuery

• Cloud Storage (GCS)

• Dataflow

• Dataproc

• Pub/Sub

• Cloud Composer (Airflow)

• Cloud Functions

• Data Fusion

• Dataplex

• Data Catalog

• Cloud SQL

• Cloud Logging & Monitoring

Tools & Frameworks

• DBT

• Talend

• Terraform

• Jenkins

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Professional Experience Highlights

Architecture & Solution Design

• Define and maintain enterprise data architecture principles, standards, and governance frameworks

• Design and implement scalable data lake and data warehouse architectures on GCP

• Architect end-to-end data solutions supporting analytics, reporting, and data science use cases

• Lead solution design, POCs, and technology evaluations

Data Engineering & Pipeline Development

• Build and optimize ETL/ELT pipelines using BigQuery, Dataflow, Pub/Sub, and GCS

• Develop streaming and batch data pipelines for real-time and large-scale processing

• Implement workflow orchestration using Cloud Composer (Airflow)

• Write efficient, scalable data processing code in Python and SQL

Data Migration & Modernization

• Lead end-to-end migration programs from legacy platforms (SAP, Oracle, Teradata) to GCP

• Design cost-efficient and high-performance migration strategies to BigQuery

• Modernize data platforms using lakehouse and cloud-native architectures

Data Governance & Quality

• Implement data governance frameworks ensuring data quality, lineage, and compliance

• Establish data validation, monitoring, and auditing mechanisms

Leadership & Stakeholder Engagement

• Lead and mentor data engineering teams, providing architectural and technical guidance

• Collaborate with business stakeholders to translate requirements into scalable solutions

• Drive client discussions, workshops, and technical presentations

• Contribute to solution decks, IP development, and innovation initiatives

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Innovation & Advanced Capabilities

• Lead initiatives in Generative AI and AI/ML use cases on GCP (Vertex AI)

• Explore and implement new GCP services to enhance data platform capabilities

• Support data science and advanced analytics workloads

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Additional Skills

• AI/ML & Generative AI (Vertex AI)

• IAM, Security & Access Control

• DevOps & CI/CD (Terraform, Jenkins)

• Data Visualization (Looker, Power BI)

• Agile/Scrum methodologies

• Project & Program Management

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Certifications

• Google Cloud Professional Cloud Architect

• Google Cloud Professional Data Engineer

• Google Cloud Professional Database Engineer

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Key Strengths

• Strong balance of architecture + hands-on engineering expertise

• Proven ability to deliver scalable, production-grade data solutions

• Excellent communication, leadership, and stakeholder management skills

• Deep expertise in GCP data ecosystem and modern data platforms

• Continuous learner with focus on innovation and emerging technologies