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Senior Technical Architect

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science

In short

A highly experienced GCP Data Architect is sought to design and implement scalable, secure, and high-performance data platforms on Google Cloud. This role demands deep expertise in modern data architectures, strong hands-on capabilities, and the ability to lead enterprise-level data transformation initiatives, including defining and enforcing best practices and adopting emerging GCP services.

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 Big Query, Dataflow (Apache Beam), Pub/Sub.
  • Define and optimize data storage & processing architectures using 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.
  • Act as solution owner for data architecture decisions.
  • Drive best practices adoption across teams.
  • Ensure alignment with enterprise data strategy.
  • Enable faster and reliable data-driven decision-making.

Requirements

  • 10+ years of experience in Data Engineering / Data Architecture
  • Strong hands-on expertise in GCP ecosystem
  • 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

Desired Qualifications

  • Bachelor’s/master’s degree in computer science, IT, or related field
  • 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)
  • 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

Benefits

  • Supercharge your potential.
  • Find your career.
  • Find your spark.
  • A place that knows that helping its customers stay on top starts by putting its people first.

Skills

Big QueryDataflowApache BeamPub/SubCloud StorageCloud SQLFire storeETLELTData WarehousingData ModelingPythonSQLData GovernanceData SecurityApache SparkHadoopMachine LearningAIDevOpsTerraformAirflowCloud Composer
#GCP#Data Architect#Data Engineering#Cloud
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About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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Company

HCLTech

Job Posted

3 days ago

Employment Type

Full Time

Work mode

On Site

Experience Level

Senior

Locations

Hyderabad, India

Noida, India

Qualification

Bachelor, Master

Applicants

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