Overview
Skills
Job Details
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:
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Design and implement scalable, high-performance data architectures to support business needs.
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Develop and maintain enterprise data models and ensure data consistency across systems.
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Collaborate with business stakeholders, data engineers, and analysts to define data requirements and solutions.
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Establish data governance frameworks, data quality processes, and security measures.
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Work with cloud platforms (AWS, Azure, or Google Cloud) to design and optimize data storage and processing.
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Ensure data integration across multiple sources, including on-premise and cloud-based systems.
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Optimize database performance, indexing, and partitioning strategies.
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Provide technical guidance and mentorship to junior data architects and engineers.
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Stay updated with emerging data technologies and best practices.
Qualifications & Skills:
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15+ years of experience in data architecture, database design, and data management.
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Strong expertise in relational (SQL Server, Oracle, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, etc.).
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Hands-on experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery).
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Proficiency in ETL/ELT processes and tools such as Informatica, Talend, or Apache NiFi.
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Knowledge of data warehousing concepts, data lakes, and big data solutions.
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Familiarity with data governance frameworks, including data cataloging, lineage, and compliance.
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Strong understanding of data security, encryption, and privacy regulations.
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Expertise in scripting languages like Python, SQL, and Scala.
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Experience with business intelligence tools (Power BI, Tableau, Looker) is a plus.
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Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
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Master's degree or Bachelor's degree in Computer Science, Information Technology, or a related field.
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Relevant certifications such as AWS Certified Data Analytics, Azure Data Engineer, or Google Cloud Professional Data Engineer.
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Experience working in industries like oil & gas, healthcare, or finance is a plus.