Director, Principal Data Architect

Tiffany & Co.; France; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

A luxury brand company is seeking a Director - Principal Data Architect to lead the modernization of their Data & Analytics program and migrate to Google Cloud Platform. The ideal candidate has extensive experience in data engineering, GCP architecture, and managing data platform projects. This role requires strong leadership and the ability to work collaboratively with various teams. Location options are available in Paris, France.

Qualifications

• 7+ years of experience in Data & Analytics.
• 3+ years of GCP-specific architecture experience.
• 2+ years leading an offshore Data & Analytics team.

Responsabilités

• Define enterprise data architecture for platforms.
• Lead data architecture practice at the enterprise level.
• Direct technical direction for data migration to GCP.

Connaissances

GCP expertise

Data architecture knowledge

DevOps and Agile methodologies

SQL skills

Leadership and mentorship

Formation

BS in Computer Science or related field

Outils

BigQuery

Power BI

Dataiku

Description du poste

Overview

Tiffany & Co. is seeking a Director - Principal Data Architect to join our team as we modernize our Data & Analytics program and migrate toward the Google Cloud Platform (GCP). We are consolidating legacy data platforms onto GCP, redesigning and enabling a suite of leading capabilities to support the spectrum of business needs with cloud and big data technologies, including AI/ML, streaming data, data lake and data warehouse, as well as self-service and delivered reporting. This role will help lead our GCP architecture, roadmap, and integration strategy, and will play a key role in building these capabilities.

This is an exciting time for the Tiffany Data & Analytics program. We are looking for an individual with the right combination of multi-faceted skills, experiences, and energy to join our team.

As a successful candidate, you will demonstrate a robust track record of leading data engineering and platform enablement projects on GCP. You will be a subject matter expert on GCP services, tools, and best practices for data engineering, data warehousing, and data delivery. You will help drive our key initiatives and high-value projects, including migrating existing data warehouse platforms (iSeries-based) onto GCP and integrating with operational systems located within AWS, Azure, hosted SaaS, and on-prem using the best fit integration technologies and methodologies. You will work with an internal project team augmented by third-party project resources onshore and offshore.

This role has the ability to be located in either Paris, France or Parsippany, New Jersey.

Responsibilities

• Define enterprise data architecture for the platforms
• Lead data architecture practice and represent Data Engineering at the enterprise level
• Technical subject matter expert in the data ecosystem, including GCP, providing input into architecture, platforms, and development strategies and methodologies — including mentorship of engineering and platform teams via design reviews, code reviews, etc.
• Define data engineering and data platform integration framework and standards. Mentor, coach and build learning programs to onboard new team members efficiently and quickly and ensure standards are understood and followed.
• Facilitate cross-team collaboration for defining and building enterprise data management architecture, oversee cross-functional adoption of the new architecture, and enable a higher level of engineering efficiency when working with data.
• Direct the strategy and implementation for migration from existing data warehouse platforms onto GCP
• Lead technical direction of the team, driving necessary changes and recommending appropriate technology choices in collaboration with Architecture, Platform, DevOps, Security, and Project teams; influence technical direction with expert input into GCP-related and other project decisions
• Lead the shift towards DevOps processes for the Data & Analytics delivery function, emphasizing continuous integration, release management and automated testing to maximize development agility and time to market
• Drive the data platform technical roadmap as the data platform product owner to prioritize and build new features that serve business teams and standardize technical work (templates for data engineers that are reusable)
• Interface with key business functions (e.g., Marketing, Sales, Finance, Merchandising) and IT Business Analysis teams to assess functional requirements and translate them into data and integration requirements
• Direct technical resources from consulting partners (onsite and offshore), communicate architecture standards and best practices, establish a high-impact development process, and drive excellence in all deliverables
• Establish daily cadence with project teams to prioritize and execute work items through adoption of Agile principles and processes
• Manage relationships with external vendors to determine technical competence and identify integration opportunities
• Be a hands-on leader for end-to-end delivery of GCP platforms, capabilities, and content

Success Factors

• Ability to understand, drive, and deliver technology solutions in GCP
• Great understanding of Data architecture and components, especially for Data Warehousing, including BigQuery, Dataform, Cloud Composer, Data Catalog; other key platforms include Fivetran/HVR/LDP, Power BI, and Dataiku
• Great understanding of modern Data Warehouse concepts, including Data Lake/Data Warehouse/Data Mart implementations, SQL-based transformations, and ELT methodology
• Strong understanding of DevOps and agile methodology; comfortable with Jira, Azure DevOps, and GitHub
• Ability to lead project and technical teams and deliver solutions
• Strong planning, coordination, and execution skills
• Ability to work with business partners collaboratively and successfully
• Ability to provide technical leadership to GCP-related project and support teams
• Knowledgeable in GCP-related technologies and tools for analytics and AI/ML use cases
• Ability to prioritize, communicate clearly, and drive focus and excellence in deliverables
• Ability to collaborate, propose solutions, and advise on the best course of action
• Effective communication, tact, and diplomacy when appropriate
• Conscientious, reliable, and inquisitive with a desire to learn and understand the underlying reasons and drivers

Qualifications

Required:

• BS in Computer Science or related field or equivalent experience
• 7+ years of experience in Data & Analytics
• 3+ years of experience in GCP-specific architecture, development, or support
• 2+ years of experience leading an offshore team in Data & Analytics, with data integrations and data platform development
• 3+ years of experience building data integration solutions in GCP with BigQuery as the target data warehouse repository
• 5+ years of experience designing and building data storage capabilities, such as data warehouse or data lake
• Understanding of large-scale computing solutions, including software design and database architectures
• Knowledge of GCP cloud security, orchestration, management, and data management (metadata management and data quality checks)
• Knowledge of FinOps
• High level of comfort communicating across internal and external organizations
• Ability to build data pipelines as part of integration design
• Strong knowledge of ELT, ETL, CDC, API, messaging, streaming, and data ingestion techniques for cloud-based Data & Analytics
• Strong SQL skills
• Experience with DevOps and Agile projects
• Experience with no-SQL and relational & non-relational platforms; experience with Parquet, AVRO, JSON, XML, CSV, etc.
• Fluent in English; French is a plus

Preferred:

• Experience with Dataform or dbt is strongly preferred
• Experience with Fivetran LDP and Fivetran Managed Service Platform or similar API-based integration and CDC-based replication is strongly preferred
• Python and Power Apps development experience strongly preferred
• Experience with Power BI
• Experience with data science platforms such as Dataiku
• Experience designing and building API interfaces for efficient data extraction
• Experience working in Global Retail industry
• GCP Solutions Architect certification is a plus
• GCP Cloud Architect certification is a plus