Principal Data Architect

Title: Principal Data Architect
Location: Houston TX - Hybrid in Houston 4x onsite
Contract: 12 month contract

Database: Snowflake / aws postrges/Oracle/, sql server/ aurora
ETL tool: DBT/Matillion/Informatica, AWS glue
Language: Python /javaScript /SQl/NoSQL,spark, pyspark
Event Streaming platforms: Amazon Kinesis/ Apache Kafka/ Apache Spark / Qlik
AWS: S3 / SNS/SQS/ Lambda / glue/ec2/iam/cloud formation**
Data Modelling: Erwin

•*Please note all items listed by "AWS" is a MUST have (i.e. S3 / SNS/SQS/ Lambda / glue/ec2/iam/cloud formation)!**

Client, a Fortune 250 company, is the leading provider of comprehensive waste and environmental services in North America. We are strongly committed to a foundation of operating excellence, professionalism and financial strength. Client serves nearly 25 million customers in residential, commercial, industrial and municipal markets throughout North America through a network of collection operations, transfer stations, landfills, recycling facilities and waste-based energy production projects.
The Enterprise Data Services team is part of Client Digital organization. Our mission is to accelerate business growth and drive operational efficiencies by extracting insights from data, predicting business outcomes and embedding intelligence into business processes.
We currently have an exciting opportunity to work with our Data Services team, designing and building out solutions in support of our business partners within our Corporate vertical.

Job Summary
The Principal Data Architect will lead the design, implementation, and optimization of enterprise-wide data architectures ensuring they align with business objectives and technological advances. Working closely with cross-functional teams, data engineers, analysts, and business stakeholders, the Principal Data Architect will analyze, design and implement scalable, reliable and efficient data architectures and solutions to meet business requirements and translate business needs into appropriate data deliverables.
This role requires a deep understanding of data architecture, data modeling, and data management practices, so the ideal candidate will have a strong background in data engineering, data warehousing, cloud technologies, along with staying current with emerging technologies and industry best practices in data management and architecture.

Essential Duties and Responsibilities
Collaborate with business stakeholders to understand data needs and translate them into technical solutions
Requirements gathering, defining project Product, and structuring it into actionable phases
Build detailed architecture diagrams such as data models, data flow diagrams, data mappings, and data dictionaries for the EDW
Consult, architect and design data integrations and pipelines for data migration projects
Integrate disparate data models into coherent enterprise data models.
Develop data strategies and communicate future strategy and vision
Demonstrate advanced data strategy and architecture through execution of proofs of concept
Develop an understanding of data processes and data dependencies; create data dictionaries and business glossaries to document data lineages, data definitions and metadata for all business-critical data domains.
Promote use of modern technologies and frameworks
Develop 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
Assist in issue resolution, measuring and tracking data quality issues
Creating and maintaining data management frameworks, data management SOPs, standards and guidelines, and control processes
Perform other duties as assigned.

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 i nformation 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, S3, 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 and SDLC.
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 Digital 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.