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    Data Architect - El Paso, United States - Point Broadband / Sunset Digital

    Point Broadband / Sunset Digital
    Point Broadband / Sunset Digital El Paso, United States

    4 days ago

    Default job background
    Description


    The Data Architect/Engineer position will be responsible for handling large volumes of data and expertise in Master Data Management (MDM).

    As a Data Architect/Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure to support our data-driven decision-making processes.

    You will work with a team of dedicated professionals and ensure data quality, reliability, and manage data repositories.

    This position is responsible for developing database solutions, installing, and configuring information systems, migrating data from legacy systems, and designing conceptual and logical data models.

    The position will also optimize database systems and collaborate with the Point team to identify future needs and requirements.

    Duties and Responsibilities:
    Essential duties and responsibilities include but are not limited to those listed below:
    Design, develop, and maintain data pipelines for the ingestion, transformation, and storage of large datasets
    Collaborate with analysts, and other stakeholders to understand data requirements and ensure data availability
    Optimize and fine-tune data pipelines for performance, scalability, and cost-efficiency
    Implement data security and compliance best practices
    Develop and maintain documentation for data engineering processes and pipelines
    Implement and maintain Master Data Management (MDM) processes, including the management of master data repositories
    Ensure data quality and consistency across the organization by defining and enforcing MDM standards
    Monitor and troubleshoot data pipelines and MDM processes to ensure data accuracy and reliability
    Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
    Migrate data from legacy systems to new solutions
    Design conceptual and logical data models and flowcharts
    Improving data quality and efficiency
    Ability to establish relationships with business, IT leaders and technology subject matter experts with effective verbal and written communication skills appropriate for both technical and non-technical audiences
    Other duties as assigned

    Qualifications:
    To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
    Proven experience as a Data Engineer, preferably with experience working on large-scale data projects
    Understanding of data governance and data quality principles
    Strong understanding of data warehousing concepts and technologies
    Experience with SQL and NoSQL databases
    Strong problem-solving skills and attention to detail
    Excellent communication and collaboration skills
    Certifications (e.g., Azure Data Engineer, Snowflake, CDMP) a plus
    Experience with Master Data Management (MDM) tools and practices
    Experience with data orchestration and scheduling tools

    Knowledge of data modeling and ETL (Extract, Transform, Load) processes
    Familiarity with big data technologies
    Experience with version control systems (e.g., Git,).
    In-depth understanding of database structure principles
    Understand data integration solutions such as Azure Data Factory, Databricks, Snowflake, and Python
    Experience gathering and analyzing system requirements
    Knowledge of data mining and segmentation techniques
    Familiarity with data visualization tools (e.g. Tableau, Power BI, Qlik, and Looker)
    Proven analytical skills
    Proficient in the entire Microsoft Office Suite, Office365

    Education:
    A four-year degree in IT, computer science, or a business-related field
    4-5 years relevant experience designing, implementing, and maintaining a large-scale data warehouse/lake
    Data Architect certifications are preferred

    Experience/Skills:
    Experience documenting processes and procedures required
    Communicates and works well with others
    Demonstrates the ability to effectively communicate technical solution details through words and visuals
    Acts as a mentor to other team members and discusses opportunities and challenges in a positive manner Ability to work independently and as part of a team
    Is passionate about learning new technology and consistently finding ways to do things better
    Experience in medium complex MSO organizations, data, video and cable industry experience a plus

    Physical Demands/Working Conditions:


    The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

    Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
    Regularly required to talk and hear.
    Required to use hands to type, handle objects and paperwork
    Required to reach and hold on to items at chest level or reach above the shoulder
    Required to use close vision and be able to focus
    Must be able to physically move and set up various computer equipment as required (50 or more pounds)
    Some travel may be required
    Medical (3 plans to choose from), Dental and Vision
    Short Term Disability
    Flexible Spending Accounts
    Company Paid Life as well as Voluntary policies
    401(k) with generous company match
    Paid Time Off
    Share the Care Paid Time Off
    Paid Holidays
    Uniform/Boot allowance *Applicable by Position*Cell Phone Allowance *Applicable by Position*Discounted Broadband Services *Where Applicable

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