Principal Data Architect

3 weeks ago

Houston, United States HonorVet Technologies Full time
Position: -Principal Data Architect
Location: -Houston, TX 77002 (Hybrid role)
Duration: -1 Year

Job description
  • Our client currently has an exciting opportunity to build a Renewable Energy data ecosystem.
  • We are currently seeking a Principal Data Architect to support our customer for this project.

1. Job Summary
  • The Principal Data Architect will coordinate the movement, enhancement, integration, quality, and availability of data throughout the Enterprise.
  • Working closely with the business and application teams including BI, the Principal Data Architect will analyze and translate business needs into appropriate data deliverables, and design and develop solutions for Master, Reference, and Transaction data to create single versions of the truth.
  • The candidate will oversee creation of data models, data flow diagrams, data mappings, and data dictionaries and will maintain all data artifacts.
  • They will develop an understanding of data processes and data dependencies; facilitate the creation of data strategies emphasizing the use of modern technologies and frameworks and own strategic roadmaps and ensure they remain in sync with business strategy goals; assist in the development, execution, and supervision of plans, policies, programs, and practices.
  • The Principal Data Architect will also assist in issue resolution, in operationalizing Data.
  • Governance, in assessing, measuring and tracking data quality issues, in creating and
  • maintaining data SOP's, standards and guidelines, and control processes for audits.

1. Essential Duties and Responsibilities
  • Create conceptual, logical, and physical data models for both relational and
  • dimensional solutions for our EDW
  • Create data integration processes between WM applications and 3rd party SaaS
  • applications
  • Integrate disparate data models into coherent enterprise data models.
  • Create data dictionaries and business glossaries to document data lineages,
  • data definitions and metadata for all business-critical data domains.
  • Identify and reconcile inconsistencies in data definitions, e.g., synonyms and
  • homonyms.
  • Work with business stakeholders to identify critical data (entities and attributes)
  • and capture how data is interpreted by users in various parts of the organization.
  • Draft and communicate future data integration strategy and vision.
  • Advance data strategy and architecture through execution of proofs of concept.

Perform other duties as assigned.
1. Qualifications
  • The requirements listed below are representative of the qualifications necessary to perform the job.
Education and Experience
  • Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, or a related field.
  • 5+ years of experience with information modeling, information visualization, data
  • modeling, data management technologies, data integration, data sourcing, data
  • analytics, data warehousing, metadata, semantics and ontologies. Experience architecting data products in Snowflake or other cloud data platforms.
  • 3+ years' experience developing AWS data pipelines (Glue, Kinesis, etc.)
  • 5+ years in ELT or data warehouse data loading design and development.
  • Experience with DBT a major plus.
  • Familiarity with modern data management concepts including Cloud-based Data
  • Warehousing, Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases.
  • Familiarity and experience in data protection and information security.
  • Strong understanding of large-scale system, information and technology
  • architectures, including application integration patterns, messaging,
  • service-oriented architecture, information models, and data lineage.
  • Hands-on experience with data and process modeling tools (e.g., ERWin, ER
  • Studio, Lucid chart), and working knowledge of programming languages such as:Python, etc.
  • Demonstrated ability to work individually and as a part of the team in a collaborative manner.
  • Experience with Agile/Scrum is valuable.
  • Knowledge of data governance practices, business and technology issues related.
  • to management of enterprise information assets and approaches related to data protection.

Other Knowledge, Skills or Abilities Required
  • Ability to work with business as well as IT stakeholders.
  • Strong written and oral communication skills with ability to work with users,
  • peers and management.
  • Strong interpersonal skills.
  • Ability to work independently and as part of a team to successfully execute projects.
  • Highly motivated, self-starter with problem solving skills.
  • Ability to multitask and meet aggressive deadlines efficiently and effectively.
  • Extraordinary attention to detail and accuracy.
  • Demonstrate ability to learn and understand business processes quickly.

Must have Skills:
1. Cloud data warehousing experience
2. Data Engineering experience/ coding pipelines
3. Experience to lead developers
4. AWS pipelines (Glue. Kinesis etc)

Nice to have skills:
  • Technology certifications - nice to have, not a must.
  • Software tools that will be used - Snowflake Cloud data platform, AWS.

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