Position: Data Architect/Technical Owner(Communication management solution)
Company: Sigma Software
Experience required: 5y
English level: upper

Sigma Software is seeking a passionate Data Architect/Technical Owner to make great products that improve Customer Communication and Engagement capabilities.

Do you want to be a part of a talented team caring about their products and striving to make them the best on the market? If so, keep reading!

Sigma Software is looking for a passionate Data Architect/Technical Owner. We specialize in Cloud Technologies and love to make great products that improve our clients’ and partners’ Customer Communication and Engagement capabilities.

Feeling thrilled? You are welcome to join!

**CUSTOMER**
Our customer is a high-tech and international company specializing in products for Customer Communications Management (CCM), Digital Customer Experience, and Dematerialization.

**PROJECT**
A lead CCM cloud-based platform that handles massive amounts of transactional data, mainly from large Italian and LATAM utility, telco, and insurance companies. The platform handles a large amount of web analytics interaction data of users with our Interactive Experience Products alongside distribution channel data. All this data, alongside third-party data integration, is now being pushed to Headlight’s big data analytics layer enabling many different real-time and batch use cases.

**REQUIREMENTS**
Proven experience as a Data Architect or Architect Data Engineer role
Knowledge of data management and visualization techniques
Degree in Computer Science, Data Science, Mathematics, or a similar field
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
Experience querying databases and using statistical computer languages: Java (Spring Boot), Python, SLQ, and NoSQL databases or other languages/technologies for performing complex data modeling and analysis
Experience using AWS services and infrastructure alongside AWS cost models
Solid understanding of machine learning
A knack for statistical analysis and predictive modeling

**PERSONAL PROFILE**
Excellent communication skills: as a Technical Team Lead, it’s important to be able to relate with the team and convey information effectively
A business mindset to swiftly identify risky situations and opportunities and able to generate creative solutions to business problems
Flexibility: The world of information technology is dynamic, so  the lead data scientist must be willing to try new things and fail and welcome and embrace change

**RESPONSIBILITIES**
Interact with the data science team, plan projects, and build analytics models
Design cloud infrastructure for data management pipelines that satisfy product owners’ functional requirements and meet non-functional requirements such as performance monitoring, operations, and cost management
Act as a technical team leader and mentor for other engineers in the team, ensuring both personal skills development and team improvement