Vaga de Data Enteprise Solutions Architect
1 vaga: | Publicada em 23/04
- A Combinar
Sobre a vaga
Customertimes is a consulting firm that delivers true business transformations
through the implementation of salesforce solutions. With more than 15 years of
client-focused experience and 4000+ engagements in 63 countries, we are proud to
be known as a trusted partner of the worlds leading enterprises. We dont just
give advice.
We deliver tangible business results that help our customers get the maximum value
from their technology investments. Headquartered in New York, we have offices in
Paris, Toronto, London, Kyiv and soon-to-be in South America!
Project Description:
The project involves supporting our client, a former part of a multinational
conglomerate company that operates in the pharmaceutical, medical devices, and
consumer health sector, in rebuilding and establishing its services as an
independent company within the healthcare and personal care product domain. The
tasks primarily revolve around reconstructing services that were previously
maintained by the conglomerate, as well as developing new services from scratch.
Specifically, the focus is on areas such as financial reporting and customer data
management on a global scale.
The selected candidate will initially work as a lone contributor, responsible for
either enhancing existing systems or proposing and implementing new solutions. The
ideal candidate for this role should possess a comprehensive background in cloud
computing, particularly Azure, with at least a decade of experience, complemented
by proficiency in critical data technologies such as Databricks and Azure Data
Factory. They should demonstrate expertise in data architecture, with a proven
ability to design and implement scalable solutions, alongside strong communication
skills to effectively translate technical concepts for diverse stakeholders.
Additionally, a solid understanding of customer 360 data concepts and experience in leading teams or projects across multiple regions would be advantageous. Qualifications:
1. Cloud Computing:
10+ years of experience with cloud platforms, particularly Azure
Strong proficiency in Azure Data Factory Familiarity with AWS or GCP is acceptable, with a minimum of 2 years of experience. 2. Data Technologies:
Expertise in Databricks for data processing and analytics Familiarity with Snowflake preferred, but any other database experience such as Redshift, BigQuery, Exadata, Teradata, Greenplum, or Vertica is acceptable 3. Data Architecture and Modeling:
10+ years of experience in data architecture and modeling
Ability to design and implement scalable and efficient data solutions for Customer 360 in B2B environments, ranging from small supermarket networks to large-scale enterprises like Walmart 4. Communication Skills:
Fluent English communication skills, C2 level. Capability to explain technical concepts clearly and concisely, especially in English, with emphasis on simplicity and clarity 5. Business Acumen:
Understanding of customer and sales data domains, with a focus on Customer 360 for B2B clients Ability to translate business requirements into technical solutions and vice versa. 6. Leadership and Team Management:
Experience leading teams or projects, although the initial role may involve working independently. Capability to manage tasks across multiple regions, such as LATAM and North America Ability to oversee the maintenance and continued development of Customer 360 for B2B clients, ensuring alignment with business objectives and scalability for various client sizes Responsibilities:
1. Designing Data Ecosystems:
Develop and implement robust data architectures and ecosystems to meet current and
future analytical challenges for clients.
2. Leading Data Engineering Practices : Lead and manage data engineering teams to ensure the successful execution of projects and initiatives, with a focus on driving excellence in data management and analytics. 3. ETL Architecture and Implementation:
Oversee the design and implementation of ETL processes using technologies such as Oracle, Spark, Airflow, and others, ensuring efficient data transformations and workload management. 4. Customer Data Management:
Drive initiatives related to Customer 360 data concepts, including data
exploration, modeling, and the setup and maintenance of Customer Golden Records
and Datamarts.
5. Solution Architecture:
Provide expertise in BI/DWH projects, offering solutions for large-scale data warehousing and business intelligence needs, with a focus on scalability and performance. 6. Consulting and Advisory:
Offer consulting services on Big Data architecture, advising on methodologies,
best practices, and technology selection to optimize data management and analytics
capabilities.
7. Team Leadership and Development : Lead and mentor data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement, while ensuring alignment with organizational goals and objectives. 8. Pre-Sale Support:
Contribute to pre-sale activities by providing architectural expertise and support in solution design, ensuring alignment with client requirements and business objectives. 9. Cross-Functional Collaboration:
Collaborate with cross-functional teams, including sales, marketing, and product
development, to align data initiatives with overall business strategies and
objectives.
Please submit your CV in English Benefits and Perks Full-time remote position
Personal Development Plan Quality working equipment
Work-life balance Flexible work time Paid certification program
Vacation, holidays and sick leaves Diverse and multicultural work environment.
Competitive salary
Referral program Diversity and teamwork are key in our organization. We pride
ourselves on being a team of creative, proactive, and driven people who bring the
best to our clients and each other every day.