Senior Solution Architect - I&D

Capgemini
Franklin Lakes, NJ, United States
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$170,102.0 - $265,762.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Data Architecture Data Governance Data Integration Extract Transform Load (ETL) Data Security Data Systems Data Warehousing Distributed Computing Environment
+17 more
Apache Hadoop Machine Learning NoSQL Power BI Standard Sql Data Streaming Tableau (Software) Cloud Platform System Snowflake Apache Spark Data Lakes Information Technology AWS Glue Star Schema Apache Kafka Data Pipelines Databricks

Job description

stakeholder management data architecture Power BI performance optimization Microsoft Azure SQL/NoSQL Databases Tableau ETL/ELT

As a Senior Data Architect, you will serve as a technical leader responsible for the end-to-end design and implementation of robust data systems. You will bridge the gap between complex business requirements and actionable technical insights, specializing in the entire data lifecycle-from ingestion and storage to advanced analytics and visualization.

Core Responsibilities:

  • Architectural Blueprinting: Design and oversee scalable, secure data platforms, including Data Lakes, Data Warehouses, and modern Lakehouse architectures.
  • Data Pipeline Strategy: Define and lead the strategy for ETL/ELT pipelines, ensuring seamless data integration across disparate sources and maintaining high-quality data flow.
  • Technology Selection: Evaluate and select optimal tech stacks (e.g., Snowflake, Databricks, AWS Glue) by balancing cost, performance, and project constraints.
  • Governance & Security: Establish comprehensive frameworks for data governance, privacy compliance (GDPR), and high-level security protocols, including encryption and access control.
  • Stakeholder Liaison: Act as a translator between business executives and technical teams, providing clear architectural guidance to engineers while presenting technical value to stakeholders.
  • Advanced Analytics Support: Build infrastructure specifically optimized for Machine Learning (ML), AI, and Business Intelligence (BI) tools such as Power BI or Tableau.

Requirements

  • Cloud Proficiency: Deep, hands-on expertise in at least one major cloud platform (AWS, Microsoft Azure, or GCP).
  • Data Modeling: Advanced knowledge of SQL and NoSQL databases, with mastery of modeling patterns like Star Schema, Kappa, or Lambda.
  • Big Data Technologies: Proven experience with distributed computing frameworks, including Apache Spark, Hadoop, or Kafka.
  • Experience: 8-12+ years in IT, with a minimum of 5 years dedicated specifically to data architecture or engineering.
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $81.78/hour - $127.77/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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