Data Solution Architect - GCP

Job Title : Data Solutions Architect – Google Cloud Platform (GCP)

Location : Noida / Bangalore

Job Type : Full Time

Experience : 7+ Years

Industry : IT Services & Analytics

Job Description

We are seeking a highly experienced and strategic Data Solutions Architect – Google Cloud Platform (GCP) to join our technology team. This pivotal role will be responsible for leading the design, architecture, and implementation of highly scalable, secure, and performant data solutions on GCP. The ideal candidate will possess deep expertise in GCP's comprehensive suite of data services, modern cloud data architecture patterns, and best practices in data engineering. You will be instrumental in translating complex business requirements into robust technical solutions, collaborating extensively with cross-functional teams to drive innovation, ensure data reliability, and support advanced analytics and AI initiatives that deliver significant business value.

Your Role and Responsibilities

Lead Data Architecture on GCP : Architect and design end-to-end data solutions leveraging a wide array of GCP services including BigQuery, Dataflow, Dataproc, Pub / Sub, Cloud Storage, Cloud Composer, and Data Catalog.

Data Platform Development & Optimization : Design, build, and maintain scalable, robust, and secure data platforms for ingestion, processing, storage, and analytics of all data types. Continuously optimize data warehouse and lakehouse performance through advanced schema design, partitioning, clustering, and query optimization techniques in BigQuery.

Solution Design & Implementation : Translate complex business requirements into clear technical architectures, detailed data models, and implementation plans, ensuring alignment with organizational standards and best practices.

Integration & ETL / ELT Pipelines : Develop, optimize, and orchestrate robust data pipelines using GCP-native tools like Dataflow, Dataproc, Dataprep, and Cloud Composer (Apache Airflow), along with integrating third-party ETL / ELT solutions.

Data Governance & Security : Define, implement, and enforce comprehensive data governance, security, and compliance frameworks across all GCP data assets, utilizing services such as IAM, encryption, Cloud DLP, VPC Service Controls, and audit logging.

Cloud Migration Leadership : Lead and support the migration of legacy data platforms to GCP, ensuring seamless transition, minimal disruption, and adherence to enterprise standards.

Technical Leadership & Mentorship : Provide strong technical leadership, guidance, and mentorship to data engineering teams, fostering adoption of best practices for data solution design, development, and deployment on GCP.

Innovation & Best Practices : Stay at the forefront of the latest GCP data technologies and industry trends. Champion and implement innovative solutions, architectural patterns, and best practices for cloud data architecture and engineering.

Collaboration & Stakeholder Management : Collaborate effectively with data engineers, analysts, data scientists, and business stakeholders at all levels to deliver high-quality, impactful data solutions.

Quality Assurance & Observability : Establish and enforce robust data validation, monitoring, and quality assurance processes to maintain high data integrity. Implement comprehensive monitoring, logging, and alerting solutions using tools like Cloud Monitoring and Cloud Logging.

Required Technical and Professional Expertise

Architectural Acumen : Deep understanding of cloud-native data architectures, distributed systems, streaming and batch data processing, and event-driven design patterns.

Problem-Solving & Analytical : Strong analytical mindset with exceptional problem-solving skills and meticulous attention to detail, with a bias towards performance, scalability, and cost optimization.

Communication & Influence : Excellent communication skills with the proven ability to present complex technical concepts clearly and concisely to diverse audiences, including technical teams, business stakeholders, and executive leadership, while effectively influencing technology direction.

Leadership & Collaboration : Strong leadership capabilities, demonstrated experience leading cross-functional technical teams, fostering collaboration, and driving consensus on architectural decisions.

Adaptability & Drive : Proven ability to manage multiple, concurrent priorities effectively in a fast-paced, dynamic environment with minimal supervision. A self-starter with a passion for continuous learning and innovation in the data and cloud space.

Security & Compliance : Expertise in data security, encryption, and compliance frameworks (e.g., GDPR, HIPAA, SOX) within a cloud environment

Preferred Technical and Professional Experience

Education : Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field (or equivalent practical experience).

Experience :

8+ years of extensive experience in data engineering, data architecture, or analytics.

At least 3 years in a dedicated data architect or solutions architect role.

Minimum of 5 years of hands-on experience designing and implementing enterprise-scale data solutions specifically on Google Cloud Platform.

GCP Expertise : Proven expert-level proficiency with core and advanced GCP data services, including but not limited to :

BigQuery (advanced SQL, optimization, data modeling, partitioning, clustering)

Cloud Storage (data lake design, lifecycle management)

Dataflow (Apache Beam for batch and streaming processing)

Dataproc (managed Apache Spark / Hadoop)

Pub / Sub (real-time messaging)

Cloud Composer (Apache Airflow for workflow orchestration)

Data Catalog (metadata management, data discovery)

Cloud Functions / Cloud Run (serverless compute for data processing)

Looker (BI integration)

Technical Proficiency :

Exceptional proficiency in SQL (with a focus on BigQuery optimization) and Python (including libraries like Pandas, NumPy, etc.).

Extensive experience with data modeling techniques (dimensional, Kimball, Inmon) and designing data warehousing / data lakehouse architectures.

Hands-on experience with ETL / ELT tools, orchestration frameworks, and API-driven data integration.

Proficiency with Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager for provisioning GCP resources.

Familiarity with event-driven architectures and messaging systems (e.g., Kafka).

Understanding of containerization technologies (Docker, Kubernetes, GKE) and CI / CD pipelines (e.g., Cloud Build, Cloud Deploy) for data workloads.

Exposure to NoSQL databases (e.g., Firestore, Bigtable, MongoDB) and various file formats (JSON, Avro, Parquet).

Knowledge of machine learning workflows and MLOps practices on GCP (e.g., Vertex AI) is a plus.

Certifications (Highly Preferred) : Google Cloud Professional Data Engineer and / or Google Cloud Professional Cloud Architect.

About Polestar :

As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.

The list includes : -

Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.

Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.

Featured on the Economic Times India's Growth Champions in FY2023.

Polestar Solutions Selected as a 2022 Red Herring Global Companies.

Top Data Science Providers in India 2023 : Penetration and Maturity (PeMa) Quadrant.

India’s most promising data science companies in 2022 by Analytics Insight.

Featured on Forrester's Now Tech : Customer Analytics Service Providers Report Q2, 2021.

Recognized as Anaplan's India RSI Partner of the Year FY21.

Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.

We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.