Business Developer

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

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Location- Gandhinagar/Pune

Roles and Responsibilities

 Document technically accurate content for products including User Manuals, Quick

guide

 Research and determine the technical documentation needs for the features

 Estimate efforts and deliver content on time

 Ensure quality of the documentation

 Execute day-to-day information engineering activities

 Create in-depth user guides, FAQs, technical overviews, and in-product help

documentation

 Identify problem areas or structural deficiencies and proactively contribute to their

improvement

 Experience creating infographics to more clearly communicate workflow processes

and abstract topics

 Build and maintain client aids that go beyond traditional documentation, such as online

video, demos, guided tours, and other other educational techniques

 Maintain a library of application documentation, cataloging it for internal and/or

external use

 Publish and maintain templates for written documentation produced by others

(technical specifications, RFP responses, ), ensuring a consistent "look and feel."

 Proven experience producing technical content for public consumption

Qualification

 Bachelors degree in Engineering/core sciences, or Masters in English

Language/Technical Communication

 5 to 7 years of experience in technical writing, with at least 3-4 years of experience

product documentation

Immediate joiners will be required

• Must have a PHP experience, a fullstack developer will also do
• Experience - 3-6 years
• No. of vacancies - 6
• Salary - 40k-70k in hand
• B.Tech/M.Tech from any college will do

• The role will be part time (15-20 hours per week) with scheduled weekend availability.
• LINC Fellows will be “actively engaged” when a unit (subject) is assigned. A unit will range from 7 to 14 weeks at a time.
• LINC Fellows are required to provide 2-3 hrs each afternoon (between noon to 5pm) every day when they are supporting students.
• Candidate will have flexibility to work from location of his/her convenience.

• Interacting with high-quality global university faculty
• Working with a diverse range of international students
• Developing deeper subject understanding
• Gaining richer academic exposure
• Improving interpersonal and cross-cultural skills

• PG/Doctoral degree with distinction or first-class from a top university in India
• 5-10 years of corporate experience and/or teaching experience in the fields like Marketing, Finance, Operations, Organization/HR, Data Analytics, Project Management, Strategy and Ethics at a leading university or college (note: at least 1 year formal teaching experience at a university of college is a MUST).
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse culture
• Proficient in English language
• Must possess a working laptop and have access to high-speed (>2 MBPS) stable internet connection
• Ability to quickly learn and use technology platforms for interacting with student including host university’s Learning Management System and LINC's technology platform (training on these platforms will be provided)

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.