Data Architect

Hybrid in Texas City, TX, US • Posted 5 hours ago • Updated 5 hours ago

Contract W2

No Travel Required

Hybrid

$60 - $65/hr

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Data Quality
Collaboration
Computer Science
Conflict Resolution
Data Architecture
Apache Kafka
Apache Spark
Banking
Big Data
Cloud Computing
Amazon Redshift
Amazon Web Services
Data Integration
Data Modeling
Analytical Skill
Apache Hadoop
Extract, Transform, Load
Good Clinical Practice
Data Engineering
Data Governance
Data Warehouse
SQL
Migration
Problem Solving
Regulatory Compliance
Relational Databases
ELT
Google Cloud Platform
Health Care
Management
Microsoft Azure
Snow Flake Schema
Streaming
TOGAF
Telecommunications

Summary

Job Title: Data Architect
Employment Type: W2 Contract
Experience: 12+ Years

Job Description
We are seeking an experienced Data Architect to design and manage enterprise data architecture and strategy. The ideal candidate will have strong expertise in data modeling, data warehousing, and cloud data platforms, with the ability to define scalable and secure data solutions.

Key Responsibilities

Design and implement enterprise data architecture and data models.
Define data standards, governance, and best practices.
Build and optimize data warehouses and data lakes.
Collaborate with business and technical teams to understand data requirements.
Ensure data quality, security, and compliance across systems.
Guide data engineers and developers on architecture and design.
Evaluate and implement new data technologies and tools.
Support data integration and migration initiatives.

Required Skills & Qualifications

Strong experience in data architecture and data modeling.
Expertise in SQL and relational/non-relational databases.
Experience with data warehousing platforms (Snowflake, Redshift, BigQuery, Synapse).
Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of ETL/ELT processes and tools.
Strong understanding of data governance and security practices.
Excellent analytical and problem-solving skills.

Preferred Qualifications

Experience with big data technologies (Spark, Hadoop).
Knowledge of streaming platforms (Kafka).
Experience in enterprise-level architecture design.
Background in banking, healthcare, or telecom domains.
TOGAF or relevant certification is a plus.

Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10477291
Position Id: 8930612
Posted 5 hours ago

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