Data Architect

Job Title: Data Architect

Location: Houston, TX (Hybrid)

Work Mode: Hybrid

Job Description

We are seeking an experienced Data Architect to join our team in Houston, TX. The ideal candidate will have 15 years of overall experience in data architecture, data modeling, and data governance. As a key member of our data management team, you will be responsible for designing and implementing robust data solutions to support business intelligence, analytics, and operational systems. This role requires a strong background in cloud technologies, database management, and data integration strategies.

Key Responsibilities

• Design and implement scalable, high-performance data architectures to support business needs.
• Develop and maintain enterprise data models and ensure data consistency across systems.
• Collaborate with business stakeholders, data engineers, and analysts to define data requirements and solutions.
• Establish data governance frameworks, data quality processes, and security measures.
• Work with cloud platforms (AWS, Azure, or Google Cloud) to design and optimize data storage and processing.
• Ensure data integration across multiple sources, including on-premise and cloud-based systems.
• Optimize database performance, indexing, and partitioning strategies.
• Provide technical guidance and mentorship to junior data architects and engineers.
• Stay updated with emerging data technologies and best practices.
  
  

Qualifications & Skills

• 15 years of experience in data architecture, database design, and data management.
• Strong expertise in relational (SQL Server, Oracle, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, etc.).
• Hands-on experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery).
• Proficiency in ETL/ELT processes and tools such as Informatica, Talend, or Apache NiFi.
• Knowledge of data warehousing concepts, data lakes, and big data solutions.
• Familiarity with data governance frameworks, including data cataloging, lineage, and compliance.
• Strong understanding of data security, encryption, and privacy regulations.
• Expertise in scripting languages like Python, SQL, and Scala.
• Experience with business intelligence tools (Power BI, Tableau, Looker) is a plus.
• Strong analytical, problem-solving, and communication skills.
  
  

Preferred Qualifications

• Master's degree or Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications such as AWS Certified Data Analytics, Azure Data Engineer, or Google Cloud Professional Data Engineer.
• Experience working in industries like oil & gas, healthcare, or finance is a plus.