Data Architect

Responsibilities

• Define and deliver a big-data ecosystem at enterprise scale; assess the data architecture in place and work with core mesh team to continuously enhance and evolve data tech stack.
• Promote data mesh technology to broad user groups in both technology and business organizations, and partner with key stakeholders to assist with defining the data and analytics strategies.
• Define and document data mesh architecture and developmental recommendations, and stay hands-on in developing and maintaining the framework, cookbook, and bootstrap code for data infrastructure as-a platform.
• Develop short- and long-term architectural strategies and plans for on-boarding data products. Identifies innovations for short- and long-term strategic opportunities.
• Ensure all Non-Functional Requirements (e.g., security, performance, availability and DR/fail-over, scalability, compliance etc.) are properly articulated, designed, implemented, and well documented.
• Partner with Data Governance team to ensure the completion and accuracy in metadata collections.
• Evaluate, prototype and recommend emerging Cloud data technologies and platforms from open source or vendors. Independently conduct POC projects.
• Communicate complex technical topics to non-technical business and senior executives and assist with scoping and architecting cloud data solutions.

Required

• At least 8 years of experience developing data and services in an enterprise and/or cloud environment.
• Deep understanding of data warehouse, data lake architecture and data management processes.
• Hands-on expertise of multiple modern cloud storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, MongoDB, CockroachDB, DataStax, or Redis.
• Working experience using ETL/analytics tools such as Talend, NiFi, dBt, DataBricks, or ADF, etc.
• Knowledge of on-prem/cloud data virtualization such as Tibco DV, Denodo, Starburst, or Dremio.
• Skilled in variety of languages such as Java, or Python
• Experience in writing scripts for Linux shell and Windows PowerShell.
• Strong organization and communication skills.
• Bachelor's degree in Computer Science or related discipline.

Preferred Specific Skills

• Knowledge of data analytics technology and methodology, such as advanced analytics or machine learning.
• Experience with DevOps, DataOps and/or MLOps using ADO.
• Working knowledge of data security such as Voltage, SecuPi, Protegrity.
• Knowledge of IaC and automation such as Terraform, Ansible.
• Working experience with Azure and AWS cloud data and service offerings.