Solutions Architect (Data Analytics)

ZipRecruiter; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in technology solutions seeks a Senior Data Solutions Architect to manage database systems and implement cutting-edge Big Data technologies. The role demands expertise in Cloud technologies while designing robust solutions for clients. Successful candidates will exhibit outstanding problem-solving skills and a proactive approach to technology implementation.

Qualifications

• Minimum 5 years' experience in a similar role.
• Proficiency in data management and reporting technologies.
• Ability to lead and mentor architects.

Responsibilities

• Implement and maintain database solutions and Big Data processes.
• Act as a SPOC for technical discussions and design solutions.
• Oversee data migration and training for staff members.

Skills

Database structure systems

Data mining

Data modeling

SQL development

Data visualization

Analytical abilities

Problem solving

Communication skills

Tools

Jenkins

Terraform

StackDriver

Job description

Job Description

Responsibilities:

• 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies
• Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks
• Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).
• In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc.
• Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response.
• Ability to be a SPOC for all technical discussions across industry groups.
• Excellent design experience, with entrepreneurship skills to own and lead solutions for clients
• Excellent ETL skills, Data Modeling Skills
• Excellent communication skills
• Ability to define the monitoring, alerting, deployment strategies for various services.
• Experience providing solution for resiliency, fail over, monitoring etc.
• Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools.
• Design and implement effective database solutions and models to store and retrieve data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Ability to articulate and write POVs on new and old technologies
• Ability to recommend solutions to improve new and existing database systems.
• Assess data implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
• Oversee the migration of data from legacy systems to new solutions.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.

Requirements:

• Strong knowledge of database structure systems and data mining.
• Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
• Proficiency in data modeling and design, including SQL development and database administration
• Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Good written and verbal communication skills.
• A minimum of 5 years’ experience in a similar role.
• Ability to lead and mentor the architects.
• Mandatory Skills [at least 2 Hyperscalers]
• GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF
• Desirable Skills
• Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools