Data Architect - VP - Evalueserve - Remote

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Senior Data Architect GCP Databricks
Reporting to- VP
Department: Data Analytics
Location: US
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.
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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.
Strong knowledge of Azure, AWS, or GCP, including storage, compute, networking, security,
and data services.
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
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Preferred Qualifications
Databricks, Azure, AWS, GCP, or data architecture certifications.
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.
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Leadership Perspectives
Pallab Kumar Deb, CEO
"Domain knowledge is the hardest thing to build in the age of AI. We've spent 25
years building it, workflow by workflow, in industries were getting the details
wrong is expensive. That's what domain-led AI firm means here. Not a layer of AI
on top of generic services, but AI built into the specific judgment calls our clients
face every day. If you want to build AI that changes how real work gets done, not
AI that just looks good in a demo, this is where that happens"
Sanjoy Roy Choudhary, Executive Vice President for Data Analytics
"We are trusted by some of the largest and most complex businesses in the world
and that trust is earned every day through expertise, technology, and a genuine
hunger to innovate. The intersection of AI, analytics, and insights is creating
possibilities that simply did not exist before, and we are right in the middle of it.
We seek out hard problems, we push forward, and we are looking for ambitious
people who want to help discover new avenues of growth with us."
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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"
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Discover how our leaders are driving innovation through AI-powered supply chain optimization
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Read how Evalueserve climbed 16 places on the "50 Best Firms for Data Scientists in 2024."
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