Senior Data Architect - QuantumBlack

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

WHO YOU'LL WORK WITH

• You will join QuantumBlack’s leading data engineering team in our Lima or Santiago office. You will gain experience working in interdisciplinary teams consisting of Data Scientists, Data Engineers, Designers and McKinsey experts.
• This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.

Who you are

• A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.

WHAT YOU'LL DO

• You will bring together the best of McKinsey’s digital capabilities to help our clients transform their businesses through data.
• In this role you will also be responsible for designing Big Data platforms and be a go-to expert for designing and building big data platforms at scale. End state solutions will cover data analysis, data mining, data governance, BI, data warehouse, cloud and implementation optimization. You will provide strategic direction, design and drive architecture and implementation planning.
• You will be well versed in performance tuning and ensure proper data quality controls are in place at all levels. As a thought leader and Big Data evangelist, you will participate in external and internal community gatherings and speak at conferences. You’ll also work with colleagues from across McKinsey & Company to help our clients deliver breakthrough products, experiences, and businesses, both on technology and non-technology topics

QUALIFICATIONS

• Bachelor's degree in computer science, engineering, mathematics and statistics or equivalent subject; master's degree preferred
• 5+ years of working experience, both in hands on and client facing roles
• Meaningful experience in multiple database technologies such as, traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) Distributed Processing (Spark, Hadoop, EMR), MPP (AWS Redshift, Presto, Athena, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra), Graph (Neo4J, Titan)
• Knowledge on enterprise data management systems such as Informatica, IBM Infosphere
• Experience with data modeling, design patterns, building highly scalable and secure solutions
• Cloud computing experience on platforms like AWS, Azure, GCP
• Data governance, data lineage, data quality and master data management expertise
• Knowledge on message queueing, streaming and data flow products like Spark Streaming, Kafka, Kinesis, RabbitMQ, Storm, NiFi, Flink is nice to have
• Deep understanding of Information Security principles to ensure compliant handling and management of client data
• Experience with Big Data migrations or IT transformations, with architecting or operating solutions build on MS Azure, IBM Cloud, Salesforce, etc.
• Experience in data warehouse or database architectures in heterogeneous working environments (corporate, startup-like) in design and implementation with Big Data Solutions and distributed applications
• Strong command of English language (both verbal and written)