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Paris/ Data engineering Architect (F/H)

CDI
Paris
Salaire : Non spécifié
Début : 31 janvier 2021
Télétravail fréquent
Expérience : > 10 ans
Éducation : Bac +5 / Master

Ekimetrics
Ekimetrics

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Le poste

Descriptif du poste

Data Architecture & Engineering team

To help operationalize our data science projects among business lines, actively contribute to the transformation of our clients’ infrastructure and organization, and democratize data driven approaches, we have created a department for data architecture and data engineering. This team is at the core of the ability to industrialize data science and build the environments to scale while supporting wider user access to analytics. By combining our expertise on data analytics with technical expertise, the team builds environments and processes to enable live production systems integrated into our clients’ IT systems, with adequate levels of architecture, governance, security, scalability, maintainability, and resilience.

Our Data Architecture & Engineering team consists in Architects, Data Engineers and DevOps Engineers. We are passionate about data processing, data quality and eager to solve data-centric issues. We love sharing our expertise, teach and enjoy our craft.

Job responsibilities

As a Data Architect, you will be involved in challenging projects with international blue-chip clients across diverse industries, building bespoke analytics solutions to answer the key questions and consulting on the findings, including high-profile presentations to senior clients.
You will be working in teams, with other consultants (data scientists, data engineers or web developers) on 3 to 5 projects simultaneously.

More precisely, your responsibilities will include:

  1. Data Architecture & Innovation
    • Lead assessments, strategies, and architecture recommendations
    • Own the full cycle of the industrialization of data projects, from advisory to audit and review activities, with customers interactions ranging from technical teams to CIOs
    • Be responsible for the data engineering code organization as well as data modelling approaches. The Data Architect will contribute to these topics with the other Lead Data Engineers (Governance, DevOps, etc.)
    • Present actionable and easy-to-understand recommendations to drive high levels of adoption within client organizations
    • Acting internally as an innovator and technical lead: we are continuously building engineered and enriched technical custom solutions for our clients

  2. People Development
    • Proactively contribute to the development of more junior team members, for them to have stronger impact across core all areas of the clients’ businesses
    • Share projects and practices within the team and more generally within Ekimetrics, be an ambassador one of our values: Transmission
    • Participate and create/give technical trainings withing our internal training program Eki. Academy
    • Contribute to the recruitment of new Data Engineers, Data Architects and therefore to the growth of the team

  3. Business Management & Consulting
    • Design and scope new projects, using the right analyses to answer client questions
    • Participate in pre-sales of Ekimetrics projects,
    • Deliver with excellence – ensure high client satisfaction and make sure that issues are raised and resolved in a timely manner with no surprises
    • Ensure client’s business case is achievable and Ekimetrics has appropriate ability to influence promised outcomes
    • Drive high client value and broaden relationships at the most senior levels with current and prospective clients and translate this into new business opportunities for Ekimetrics.
    • Evangelising externally the innovative business solutions we offer to our clients by participating in thematic conferences or other specific tech exhibitions/events


Profil recherché

Candidate’s profile

Qualifications
The successful candidate will have a minimum of 8-10 years of professional background, with a proven expertise in both BI and Big Data architectures, either on-prem or in the Cloud.
While working closely with the other members of the Data Engineering team, you will need to be autonomous enough to handle all meetings with customers on data architecture topics.

The successful candidate will also prove a balance of business strategy understanding, client-facing consulting experience, and significant data and analytics expertise.
The work will be rooted in the creation of innovative analytic engagements for clients.

Technical skills
• A Ph.D. or Master’s degree in a quantitative discipline such as computer science, statistics, applied mathematics from a leading academic institution is preferred
• 8+ years of experience in Data Analysis / Data Architectures / DWH / Data Lakes in a business setting, preferably in a client-facing consulting-oriented role
• Passion for data, extensive knowledge in statistics or applied mathematics, experience with techniques such as Machine Learning
• Expertise in key technologies related to Data Management:
o SQL, Spark, Python,
o Cloud platforms (Azure, GCP, AWS, etc.)
• Expertise in some aspects of Data Management and readiness to grow in the others:
o Data analytics architectures
o Data governance processes and platforms
o Data ingestion & transformation in data-warehouses or data-lakes
o Data visualization

Soft skills
• Excellent communication skills – especially translating complex technical findings into plain language insights and stories for stakeholders
• Demonstrated ability to develop new and lasting client relationships at senior levels across multiple industries
• Team oriented and collaborative working style, both with clients and within Ekimetrics
• Management experience and demonstrated ability to develop younger talent and build a high performing team.
• Project management and delivery expertise
• Passion for joining a small team and desire to help the business grow quickly

Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

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