Vice President - Senior Data Analyst

Senior Data Architect - GCP Databricks

Reporting to- VP

Department: Data Analytics

Location: US

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.

We have 5,000+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific.

Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

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Job Summary

We are seeking a senior Data Architect with 15-20 years of experience and strong expertise in Databricks, GCP, 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.
• Enterprise data architecture, Databricks Lakehouse, cloud data platforms, modernization, governance, and analytics enablement, plus GCP data strategy, cloud modernization, and client solutioning.
• Databricks, Apache Spark, Delta Lake, Hadoop ecosystem, ETL/ELT, cloud data platforms, streaming, data governance, and DevOps, Google Cloud, BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Dataplex, Vertex AI, and Gemini

Required Qualifications

• 15-20 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.
• Expertise in data modeling, dimensional modeling, Data Vault, star and snowflake schemas, data marts, semantic layers, and enterprise reporting architecture.
• Experience with analytics platforms such as Snowflake, Synapse, Redshift, BigQuery, SQL Server, Oracle, or Teradata.
• Knowledge of data governance, metadata management, lineage, MDM, privacy, access control, and enterprise security standards.
• Strong communication skills with the ability to explain architecture decisions to senior business and technology stakeholders.
• Hands-on experience with Google Cloud services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Dataplex, Vertex AI, Gemini, IAM, networking, security, and monitoring.
• 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.

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.

Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.

Want to learn more about our culture and what it's like to work with us? Write to us at careers@evalueserve.com

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