Job Title: GCP Data Architect
Location: Madurai
Experience: 12+ Years
Notice Period: Immediate
About TechMango
TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client, Livingston, in a highly strategic project.
Role Summary
As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals.
Key Responsibilities:
- Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP)
- Define data strategy, standards, and best practices for cloud data engineering and analytics
- Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery
- Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery)
- Architect data lakes, warehouses, and real-time data platforms
- Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP)
- Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers
- Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards
- Provide technical leadership in architectural decisions and future-proofing the data ecosystem
Required Skills & Qualifications:
- 10+ years of experience in data architecture, data engineering, or enterprise data platforms
- Minimum 3–5 years of hands-on experience in GCP Data Service
- Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
- Python / Java / SQL
- Data modeling (OLTP, OLAP, Star/Snowflake schema)
- Experience with real-time data processing, streaming architectures, and batch ETL pipelines
- Good understanding of IAM, networking, security models, and cost optimization on GCP
- Prior experience in leading cloud data transformation projects
- Excellent communication and stakeholder management skills
Preferred Qualifications:
- GCP Professional Data Engineer / Architect Certification
- Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics
- Exposure to AI/ML use cases and MLOps on GCP
- Experience working in agile environments and client-facing roles
What We Offer:
- Opportunity to work on large-scale data modernization projects with global clients
- A fast-growing company with a strong tech and people culture
- Competitive salary, benefits, and flexibility
- Collaborative environment that values innovation and leadership
Shubham Vishwakarma
Full Stack Developer - Averlon
About Techmango Technology Services Private Limited
About
Founded in 2014, Techmango Technology Services (TTS) is a dynamic IT services and AI consulting company that has steadily expanded into a robust organization with a team of over 250 highly skilled professionals. A NASSCOM Partnered and CMMi Level 3 initiated Madurai-based IT company, with a difference. As a client centered and quality conscious IT company, we offer a wide spectrum of technology services and solutions to help our clients meet their business needs on time and within cost-effective parameters.
Techmango strives to deliver top-tier GenAI, Data Engineering solutions, App Modernization and Custom Software Development to keep you ahead of the competition, continually enhancing your IT-driven business solutions.
We leverage the latest software development platforms, tools and advanced project management techniques to deliver industry-leading solutions that set you apart from the competition. Our comprehensive service portfolio includes Application Services, Infrastructure Services, and Professional Services, all delivered through our flexible Global Delivery Model.
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