Data Architect
Data Architect
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$ 133459 - 208197
1 Vacancy
Job Description
Job Summary
The Data Architect is responsible for designing implementing and managing LAHSAs data and information architecture and data-sharing strategy enabling data use for business intelligence data analytics strategic planning and program assessment. This role is critical in establishing a solid foundation for data management within LAHSA ensuring that data is organized accessible secure and aligned with business objectives. The data and information architect designs warehouses file systems and databases and defines how data will be collected organized and shared. This role reports to the Deputy Chief Analytics Officer.
The functions listed below are intended to describe the general nature and level of work being performed and are not to be interpreted as an exhaustive list of responsibilities.Essential Job Functions
- Defines and implements the long-term technology strategy and innovations roadmaps across analytics data engineering and data platforms to support business initiatives and roadmaps.
- Manages senior business stakeholders to secure strong engagement and ensures that the delivery of data and information projects aligns with longer-term strategic road maps.
- Advice on the design and structure of data systems including databases warehouses and lakes and oversees the documentation of all data architecture design and analysis work.
- Works with IT teams business analysts and data analytics teams to understand data consumers needs and translate high-level business requirements into data models appropriate metadata test data and data quality standards.
- Select and implement database management systems to meet LAHSAs needs by defining data schemas optimizing data storage and establishing data access controls and security measures.
- Evaluates and recommends emerging data management storage and analytics technologies.
- Manages vendors and service providers for analytics data engineering and data platforms.
- Designs and implement processes for the ETL process from various sources into the organizations data systems.
- Determines overall data modeling standards guidelines best practices and approved modeling techniques and approaches.
- Approves conceptual logical and physical data models for LAHSA applications and analytics environments.
- Represents the Information Technology team in the LAHSA Data Governance committee and ensures any technology solutions adhere to standards set by Data Governance.
- Defines and manages standards guidelines and processes to ensure data quality.
- Oversee the maintenance and enhancement of the existing data architecture delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
- Perform other duties as assigned.
Knowledge Skills & Abilities
The Data Architect ensures the D&A technology landscape remains consistent. Without this role the team will fail to meet business requirements and a proliferation of tools and technologies might emerge leading to extra costs:
- Knowledge of industry-standard technologies and tools including database management systems master data and metadata management tools data acquisition strategies cloud storage data warehousing business intelligence principles and processes technical architecture for analytics and associated security considerations for all data classifications.
- Knowledge of hardware and software technology infrastructure configuration networking and telecommunications requirements for data and analytics systems and their associated operational support requirements.
- Knowledge of enterprise information management processes and methodologies.
- Knowledge of local state and federal data management and governance regulations.
- Skill in enterprise-level database design including data security and access auditing considerations and complete data life cycle management (gathering cleansing publishing archiving back-up and recovery and purging) for large enterprise systems.
- Understanding of data quality tools and techniques.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS Azure GCP) real-time data distribution (Kafka Dataflow) and modern data warehouse tools (Snowflake Databricks).
- Experience with database technologies such as SQL NoSQL Oracle Hadoop or Teradata.
- Ability to use data science languages/tools like SQL R SAS or Excel.
- Experience with business intelligence tools and technologies like ETL Power BI and Tableau.
- Strong ability in programming languages such as Java Python and C/C.
- Ability to regularly learn and adopt new technology e.g. ML/AI.
- Familiarity with advanced modeling approaches tools and model repositories.
- Ability to rapidly comprehend the functions and capabilities of new technologies.
- Knowledge of multiple vendors products architectures and approaches.
- Ability to synthesize and communicate large volumes of complex information to senior management of various technical understandings.
- Ability to communicate effectively prepare presentations and build and maintain effective working relationships within cross-functional teams.
- Ability to think strategically and relate architectural decisions and recommendations to business. needs and stakeholder culture.
- Ability to analyze and assess multiple solutions and alternatives to business problems.
- Ability to guide solution design and architecture to meet business needs utilizing industry-standard System Development Life Cycle methodologies.
Training & Experience
- Bachelors Degree in Data Science Computer Science Engineering Information Management or a related field of study or equivalent experience.
- At least five (5) years of relevant experience in design and implementation of data models for enterprise data initiatives.
- At least five (5) years of experience in programming or project management leading projects involving data warehousing modeling and analysis.
- Experience managing technology vendors and service providers.
- Experience working with and managing hybrid (onsite and remote) teams.
- Proven work experience and/or education/credentials as it relates to the position.
Additional Information:LAHSA has adopted a hybrid telework policy requiring employees to work onsite at our Los Angeles office a minimum of two (2) days per week. Applicants must be able to meet this onsite requirement with or without a reasonable accommodation. LAHSA is committed to providing equal employment opportunities and reasonable accommodations to qualified individuals with disabilities. If you require an accommodation please contact Human Resources at initiate the interactive process.
We are an Equal Opportunity / E-Verify Employer
Applicants may make a reasonable accommodation request for this job by calling the Human Resources Department at ; or via email at.
Employment Type
Full-Time
