Piper Companies is currently searching for a remote Data Architect to work as a full-time employee for one of the largest full-service hotel providers in the world.

• Experience designing and developing data platforms for a large enterprise is required.
• Understanding of data engineering for large enterprises: data storage, data transformation and data visualization architectures.
• Experience working on at least one multi-year architecture transformation effort for a large enterprise.
• In depth knowledge about concepts like data mesh, data lake house, data engineering etc.
• Experience using one of the cloud technologies like AWS or Azure to build the data platform will be essential.

Qualifications for Data Architect

• Undergraduate degree (Computer Science, Information Systems, or Computer Engineering) or equivalent experience.
• Experience in software engineering in building large enterprise systems, software architecture.
• Experience with large enterprise transformation effort using Information, Data, and Analytics Architectures.
• Experience in the management and governance of Enterprise Platforms
• Expert in database design for both traditional and NoSQL approaches.

Preferred qualifications for Data Architect

• Expertise with one or more of cloud platforms like AWS or Azure.
• Experience developing NoSQL data models that are optimized for various consumption models including API, Data Streaming, Eventing, and Batch.
• Experience in the design and tuning of high user concurrency and large data volume application.
• Demonstrated experience with cross data center replication and data federation.
• Proven experience of deploying data solutions in Private Cloud, Hybrid Cloud, and On-Prem environments.
• Experience in evaluating and monitoring platform health, developing capacity plans, and managing the platform roadmap.
• Extensive experience in implementing solutions and various patterns using Snowflake
• Robust experience in ETL pipelines (Extract, Transform and Load), SQL, Stored Procedures, and relational databases.
• Strong experience in AWS environment, especially in EC2, S3, Lambda, Spark and EMR
• Experience in writing applications in Python and Spark.
• Experience in Big Data technologies like Hadoop and Hive
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Experience in defining domain-driven architectures and exposure to defining microservices / APIs across domains.
• Experience in Airflow, Github, Jira, and Hashicorp Vault

Day to Day Activities

Managing Data Architecture

• 
  Build the internal community for data modelers and data experts.
• Delivers long-term strategic goals for data architecture vision and standards in conjunction, data users, department managers, clients, and other key stakeholders.
• Determines governance, stewardship, and frameworks for managing data architecture across the organization.
• Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.

Requirements and Standards

• 
  Develops and promotes technology and data management methodologies and standards.
• Defines requirements for implementing the appropriate tools, software, applications, and systems to support appropriate technology goals.
• Defines requirements for establishing methods and procedures for tracking technology quality, completeness, and redundancy.
• Defines requirements to address technology-related problems regarding systems integration, compatibility, and multiple-platform integration.
• Defines requirements to develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of technology architecture.

Compensation

• $155,000 to $180,000 based on relevant experience.
• Full Benefits (401k Match, Medical, Dental, Vision, PTO, Holidays, and much MORE!)

Keywords

AWS, Azure, Data Pipeline, Data Engineering, Automation, Data Transformation, Data Visualization, Solutions Architecture, Solutions Architect, ETL, Extract Transform Load, SQL, MySQL, Data Enterprise, Cloud Platform, NoSQL, Data Model, API, Database, Database Design, Python, Spark, Scripting, Framework, Hadoop, Hive, WFH, Telework, Telecommute, Remote, Work from Home,