Senior Data Architect Job at Incedo Inc., Florham Park, NJ

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  • Incedo Inc.
  • Florham Park, NJ

Job Description

Job Summary:

We are seeking a Senior Data Architect to partner directly with the CIO and lead end-to-end architectural design and strategic implementation of enterprise-grade data solutions. This individual must have deep expertise in architecting on-premises data platforms (batch and real-time) and strong command over cloud-native solutions on AWS . The ideal candidate will play a pivotal role in defining and driving the data modernization roadmap for the organization.

Key Responsibilities:

  • Collaborate with the CIO and leadership teams to define enterprise data architecture strategy.
  • Architect and implement scalable, secure, and high-performance on-prem data solutions for batch processing, streaming, and near real-time data flows.
  • Design cloud-native data pipelines and frameworks using AWS services including S3, Glue, Lambda, EMR, Kinesis, Redshift, and Athena .
  • Define data governance, quality, and security standards across all layers of the architecture.
  • Provide thought leadership on data modeling, metadata management, master data management (MDM), and data lineage.
  • Collaborate with cross-functional engineering, analytics, and business teams to align architecture with business needs.
  • Conduct architecture reviews and ensure alignment with enterprise standards.
  • Mentor data engineers, solution architects, and analysts on best practices and architectural principles.

Required Skills & Experience:

  • 15+ years of experience in data architecture and enterprise data solutions.
  • Strong hands-on experience with on-prem technologies such as:
  • Informatica, Talend, Nifi
  • Kafka (for real-time streaming)
  • Oracle, Teradata, SQL Server, etc.
  • Proven experience in architecting and migrating enterprise data workloads to AWS .
  • Expertise in AWS data stack: Glue, Lambda, Kinesis, EMR, S3, Redshift, Athena .
  • Strong understanding of batch processing frameworks , streaming platforms , and data lake/lakehouse architectures .
  • Deep experience with data modeling , data governance , metadata management , and security frameworks .
  • Exceptional communication and stakeholder management skills with the ability to work at the C-level.

Preferred Qualifications:

  • Experience in Financial Services / Banking industry.
  • AWS Certifications (e.g., AWS Certified Solutions Architect – Professional).
  • Familiarity with tools like Snowflake, Databricks, or similar modern platforms.
  • Experience with DevOps and CI/CD practices for data environments.

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