GCP Solution Architect

Job Summary

We are seeking a Senior GCP Data Architect with 15-25 years of experience and strong expertise in Databricks, GCP, Forward Deployed Engineer, cloud data platforms, the Hadoop ecosystem, and modern ETL/ELT architecture. The role will define enterprise data strategy, design scalable Lakehouse solutions, lead data modernization initiatives, and enable analytics, AI/ML, and business intelligence use cases. In addition, the role will architect and guide enterprise data, analytics, and AI solutions on Google Cloud Platform (GCP).

Key Responsibilities

• Design and drive enterprise-scale data architecture using Databricks Lakehouse, Apache Spark, Delta Lake, and cloud-native data platforms.

• Lead data platform modernization from legacy Hadoop/data warehouse environments to modern Lakehouse and cloud architecture.

• Defining architecture standards for data ingestion, ETL/ELT, data modeling, data warehousing, governance, security, and performance optimization.

• Build architecture for batch, near real-time, and streaming data pipelines using Spark, Kafka/Event Hubs/Kinesis, Auto Loader, and workflow orchestration tools.

• Work with business leaders, product teams, data engineers, platform teams, and analytics teams to translate business needs into scalable technical solutions.

• Guide teams on data quality, metadata management, data lineage, cost optimization, observability, CI/CD, and production support best practices.

• Provide technical leadership, review solution designs, mentor engineering teams, and support pre-sales or stakeholder discussions where required.

• Serve as a trusted technical advisor to clients on data strategy, architecture, engineering, analytics, and AI solutions on Google Cloud.

• Design scalable, secure, resilient, and cost-optimized GCP architectures using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Dataplex, Vertex AI, and Gemini.

•Lead GCP migration and modernization initiatives, including data warehouses, data lakes, batch and streaming pipelines, governance, security, and performance optimization

• Support client discovery, solutioning, RFP responses, proposals, presentations, proof-of-concepts, and smooth handover from pre-sales to delivery for GCP engagements.

Required Qualifications

• 15-25 years of overall experience in Data Engineering, Data Architecture, Data Warehousing, Big Data, or Cloud Data Platforms.

• Strong hands-on experience with Databricks, Apache Spark, PySpark or Scala, Spark SQL, Delta Lake, Databricks Workflows, and Databricks SQL.

• Good understanding of Databricks Lakehouse architecture, Unity Catalog, Delta Live Tables, Auto Loader, MLflow, job orchestration, and cluster optimization.

• Strong experience with Hadoop ecosystem technologies such as HDFS, Hive, HBase, Sqoop, Oozie, YARN, and MapReduce.

• Experience in ETL/ELT design using Informatica, Talend, Azure Data Factory, AWS Glue, dbt, Airflow, Oozie, or similar orchestration tools.

• Strong knowledge of Azure, AWS, or GCP.

• Experience designing GCP-based data warehouses, data lakes, ETL/ELT pipelines, real-time analytics, and cloud-native data architecture.

• Demonstrated experience in client-facing GCP consulting, architecture workshops, pre-sales solutioning, proposal development, and technical presentations.

• Ability to align GCP architecture decisions with business outcomes, delivery feasibility, security, governance, scalability, and cost optimization.

• A hands-on architect who can define strategy, design scalable platforms, guide engineering teams, and engage with senior stakeholders, with the ability to advise clients and lead GCP architecture and solutioning.

Preferred Qualifications

• Experience with AI/ML and Generative AI data platforms or feature engineering pipelines.

• Experience in consulting, solution architecture, client-facing workshops, or enterprise transformation programs.

• Google Cloud Professional Cloud Architect and/or Professional Data Engineer certification is preferred.

Why Join Evalueserve?

Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.

Recent Awards and Recognitions

• AIM Research 2025: Top 10 of the “20 Best Firms for Women in Tech”

• Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms

• Chartis Research 2024: Category Leader in Credit Portfolio Management

• Credit Strategy Lending Awards 2024: Winner, “Best Technology Partner”

• Banking Tech Awards 2024: Highly Commended, “Best LendTech”

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

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