Enin Systems
Avenel, NJ
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Job Description :

Job Role : Senior Data Architect

Experience: 12–15 Years

Location : Pennsylvenia

Role Overview

We are seeking a Senior Data Architect to design, govern, and evolve enterprise-wide data architecture. The ideal candidate will provide strategic direction for data platforms, ensure scalability and security, and enable advanced analytics and data-driven decision-making.

Key Responsibilities

  • Define and own the enterprise data architecture strategy aligned with business goals

  • Design scalable, secure, and high-performance data platforms (OLTP, OLAP, streaming, and analytics)

  • Lead architecture for data lakes, data warehouses, and lakehouse solutions

  • Establish standards for data modeling, integration, governance, and metadata management

  • Collaborate with business, analytics, engineering, and security teams to deliver data solutions

  • Guide teams on cloud data architecture and modernization initiatives

  • Ensure data quality, lineage, security, and regulatory compliance (GDPR, HIPAA, etc.)

  • Review and approve data designs, pipelines, and storage solutions

  • Mentor data engineers and architects across multiple teams

  • Evaluate emerging technologies and recommend tools and platforms

Required Skills & Qualifications

  • 12–15 years of experience in data architecture, data engineering, or enterprise data design

  • Strong expertise in data modeling (conceptual, logical, physical)

  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native data services

  • Deep knowledge of data warehouses and lakehouse technologies (Snowflake, Redshift, BigQuery, Synapse, Databricks)

  • Experience with ETL/ELT tools (Informatica, Talend, dbt, Airflow)

  • Strong SQL skills and experience with NoSQL databases (MongoDB, Cassandra, DynamoDB)

  • Knowledge of real-time and streaming data architectures (Kafka, Kinesis, Spark Streaming)

  • Experience with data governance, MDM, metadata management, and security frameworks

  • Understanding of analytics, BI, and AI/ML data requirements

  • Strong stakeholder management, documentation, and leadership skills

Nice to Have

  • Experience with domain-driven design and data mesh architecture

  • Background in AI/ML platforms and feature stores

  • Relevant certifications (Cloud Architect, Data Engineering, TOGAF, etc.)

             

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