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# Data Architect

- **Company:** TEKSYSTEMS INC.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $170,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Cloud Computing, Code Review, Cyber Security, Computer Programming, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Security, Data Systems, Data Warehousing, Database Testing, DevOps, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Cloud Platform System, Great Expectations (Foster Youth College-readiness and Support Program), AWS Data Analytics, Apache Kafka, Data Management, Video Streaming, Cloud Migration, Terraform, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-architect-new-york-ny--4f2729bf-855d-4117-9d4c-959549079379

## About the Role

DataArchitect Data Modeling Tool, Analysis Skills, Artificial Intelligence (AI), Capital Markets, Data Analysis, Finance, DataArchitect Data Modeling Tool, Ecosystems, Cloud Computing, Information/Data Security (InfoSec), * 8+ years in data architecture, with deep experience in cloud-based data platforms.

 * Expertise in data modeling (3NF, star/snowflake schemas), ELT/ETL design, and performance tuning.

 * Solid understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.).

 * Strong programming in SQL and Python; experience with CI/CD and data testing in dbt.

 * Knowledge of data governance, lineage, metadata management, and data quality frameworks.

 * Experience working with streaming technologies (Kafka, Kinesis) and large-scale datasets.

Preferred

 * Experience in platform modernization and cloud migration projects.

 * Familiarity with tools like Airflow, Terraform, Great Expectations, or Monte Carlo.

Skills

Data, Python, Sql, Aws, Cloud, Data modeling

Top Skills Details

Data,Python,Sql,Aws,Cloud,Data modeling

Additional Skills & Qualifications

 1. Modern Data Architecture & Pipeline Engineering

What that includes:

Designing scalable data platforms

Building and optimizing ETL/ELT pipelines

Kafka and streaming architectures

AWS data services (S3, Lambda, Glue, Redshift, etc.)

Data modeling and warehousing

## Description

They are seeking a strategic and hands-on Data Architect to design and implement scalable, secure, and modern data solutions across our organization. You'll play a critical role in leading the modernization of our data ecosystem using dbt, building a foundation for real-time analytics and enterprise-scale reporting in the cloud.

Responsibilities

 * Architect and evolve our data platform as the central data warehouse and dbt for transformation logic.

 * Design and implement batch and streaming pipelines, ensuring scalability and cost-efficiency in AWS.

 * Establish best practices for data modeling, warehouse schema design, and semantic layer standardization using dbt.

 * Define and enforce data governance, security, and privacy policies in alignment with compliance frameworks.

 * Lead data migration from legacy sources to AWS; work closely with DevOps to automate and secure deployment processes.

 * Collaborate with engineering, product, and business stakeholders to understand data needs and align solutions with business goals.

 * Mentor and guide data engineers; support code reviews, architectural reviews, and team upskilling.