Exclusive Resorts
Data Architect
Exclusive Resorts, Denver, Colorado, United States, 80285
JOB SUMMARY:As a Data Architect you will play a pivotal role in owning the organization's data architecture and will be responsible for designing, building, implementing, and managing this architecture across all applications within the enterprise. The role demands a strong understanding of data modeling, database management, data warehousing, and data integration techniques, requiring impeccable communication skills and attention to detail. Additionally, you will collaborate closely with stakeholders, including data engineers, analysts, and business leaders, to ensure that data architecture aligns with organizational data strategy and requirements.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Design enterprise data management systems that will provide data insights to support the business in order to make key decisionsIdentify key systems of record and modernize data flow to support itDevelop and implement the organization's data architecture strategy, including conceptual, logical, and physical data models, ensuring alignment with business goals and industry best practicesOversee the selection, implementation, and optimization of all data systems, ensuring efficient data storage, retrieval, and integrityEstablish data governance policies, procedures, and standards to ensure data quality, cost, consistency, privacy, and security throughout the data lifecycleIdentify and address performance bottlenecks within the data architecture through optimization techniques, indexing strategies, and data partitioningCollaborate with cross-functional teams, including data engineers, analysts, developers, and business stakeholders, to understand requirements, define data architecture solutions, and communicate technical concepts effectivelyStay abreast of emerging trends and technologies in data management, analytics, and cloud computing, evaluating their potential impact on the organization's data architecture and recommending adoption strategies accordinglyMaintain comprehensive documentation of data architecture artifacts, including data models, data dictionaries, metadata repositories, and technical specificationsContinuously assess and refine the data architecture framework, processes, and standards to enhance scalability, reliability, and performance in alignment with evolving business needs and technological advancementsSupport and advocate for process improvement to result in higher quality data assets throughout organizationQUALIFICATIONS:
Bachelor's or Master's degree in Computer Science, Information Systems, or related fieldTechnical data lead with 5+ years experience in a similar roleUnderstands SOA and AWS CloudUnderstands Data Science, Reporting, and Orchestration concepts and can put into practice for a travel companyIn-depth knowledge of data modeling principles, techniques, and modern tools (e.g., ER/Studio, PowerDesigner)Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow)Strong understanding of data governance, security, and compliance requirements (e.g., GDPR, HIPAA, PCI DSS)Familiarity with cloud platforms (e.g., AWS, Azure) and their data services (e.g., S3, Redshift, BigQuery)Self-starter with excellent analytical, problem-solving, and decision-making skills with a keen attention to detailEffective communication and interpersonal skills, with the ability to collaborate across diverse teams and stakeholdersProven ability to manage multiple priorities and deliver results in a fast-paced, dynamic environmentPREFERRED QUALIFICATIONS:
Certification in data management or related field (e.g., AWS Certified Data Analytics Professional, AWS Certified Database - Specialty, CDMP)Experience with data visualization and business intelligence tools (e.g., Tableau, Power BI, Qlik)Snowflake SnowPro certification in a plusKnowledge of machine learning and predictive analytics concepts and techniquesFamiliarity with agile methodologies and DevOps practices in the context of data architecture and engineeringExperience with Python
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Design enterprise data management systems that will provide data insights to support the business in order to make key decisionsIdentify key systems of record and modernize data flow to support itDevelop and implement the organization's data architecture strategy, including conceptual, logical, and physical data models, ensuring alignment with business goals and industry best practicesOversee the selection, implementation, and optimization of all data systems, ensuring efficient data storage, retrieval, and integrityEstablish data governance policies, procedures, and standards to ensure data quality, cost, consistency, privacy, and security throughout the data lifecycleIdentify and address performance bottlenecks within the data architecture through optimization techniques, indexing strategies, and data partitioningCollaborate with cross-functional teams, including data engineers, analysts, developers, and business stakeholders, to understand requirements, define data architecture solutions, and communicate technical concepts effectivelyStay abreast of emerging trends and technologies in data management, analytics, and cloud computing, evaluating their potential impact on the organization's data architecture and recommending adoption strategies accordinglyMaintain comprehensive documentation of data architecture artifacts, including data models, data dictionaries, metadata repositories, and technical specificationsContinuously assess and refine the data architecture framework, processes, and standards to enhance scalability, reliability, and performance in alignment with evolving business needs and technological advancementsSupport and advocate for process improvement to result in higher quality data assets throughout organizationQUALIFICATIONS:
Bachelor's or Master's degree in Computer Science, Information Systems, or related fieldTechnical data lead with 5+ years experience in a similar roleUnderstands SOA and AWS CloudUnderstands Data Science, Reporting, and Orchestration concepts and can put into practice for a travel companyIn-depth knowledge of data modeling principles, techniques, and modern tools (e.g., ER/Studio, PowerDesigner)Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow)Strong understanding of data governance, security, and compliance requirements (e.g., GDPR, HIPAA, PCI DSS)Familiarity with cloud platforms (e.g., AWS, Azure) and their data services (e.g., S3, Redshift, BigQuery)Self-starter with excellent analytical, problem-solving, and decision-making skills with a keen attention to detailEffective communication and interpersonal skills, with the ability to collaborate across diverse teams and stakeholdersProven ability to manage multiple priorities and deliver results in a fast-paced, dynamic environmentPREFERRED QUALIFICATIONS:
Certification in data management or related field (e.g., AWS Certified Data Analytics Professional, AWS Certified Database - Specialty, CDMP)Experience with data visualization and business intelligence tools (e.g., Tableau, Power BI, Qlik)Snowflake SnowPro certification in a plusKnowledge of machine learning and predictive analytics concepts and techniquesFamiliarity with agile methodologies and DevOps practices in the context of data architecture and engineeringExperience with Python