Data Architect
Company: Exclusive Resorts, LLC
Location: Denver
Posted on: October 22, 2024
Job Description:
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 ROLES AND RESPONSIBILITIES
- Design enterprise data management systems that will provide
data insights to support the business in order to make key
decisions.
- Identify key systems of record and modernize data flow to
support it.
- Develop and implement the organization's data architecture
strategy, including conceptual, logical, and physical data models,
ensuring alignment with business goals and industry best
practices.
- Oversee the selection, implementation, and optimization of all
data systems, ensuring efficient data storage, retrieval, and
integrity.
- Establish data governance policies, procedures, and standards
to ensure data quality, cost, consistency, privacy, and security
throughout the data lifecycle.
- Identify and address performance bottlenecks within the data
architecture through optimization techniques, indexing strategies,
and data partitioning.
- Collaborate with cross-functional teams, including data
engineers, analysts, developers, and business stakeholders, to
understand requirements, define data architecture solutions, and
communicate technical concepts effectively.
- Stay 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 accordingly.
- Maintain comprehensive documentation of data architecture
artifacts, including data models, data dictionaries, metadata
repositories, and technical specifications.
- Continuously assess and refine the data architecture framework,
processes, and standards to enhance scalability, reliability, and
performance in alignment with evolving business needs and
technological advancements.
- Support and advocate for process improvement to result in
higher quality data assets throughout the organization.EDUCATION,
SKILLS, AND EXPERIENCE
- Bachelor's or Master's degree in Computer Science, Information
Systems, or related field.
- Technical data lead with 5+ years of experience in a similar
role.
- Understands SOA and AWS Cloud.
- Understands Data Science, Reporting, and Orchestration concepts
and can put into practice for a travel company.
- In-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 detail.
- Effective communication and interpersonal skills, with the
ability to collaborate across diverse teams and stakeholders.
- Proven ability to manage multiple priorities and deliver
results in a fast-paced, dynamic environment.PREFERRED
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 is a plus.
- Knowledge of machine learning and predictive analytics concepts
and techniques.
- Familiarity with agile methodologies and DevOps practices in
the context of data architecture and engineering.
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Keywords: Exclusive Resorts, LLC, Parker , Data Architect, Other , Denver, Colorado
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