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London

Senior Data Consultant

Architecture
 
 

Responsibilities

We are looking for a dynamic and highly experienced Data Specialist with outstanding client-facing skills. With experience as a Data Architect, you will be taking an active technical leadership role on projects to deliver solutions to our clients. You will also be heavily involved in pre-sales efforts and in mentoring Endava technical staff. Candidates will be able to demonstrate:

• Technical and architectural skills

• Client-facing and sales skills

• Breadth and length of experience

You must be confident in engaging in a range of conversations with senior client management and staff and have the ability to lead discussions and workshops. You will be able to design and propose solutions to complex enterprise data problems and provide hands-on assistance as required. These abilities will be utilized in all cycles of the delivery lifecycle from Proof of Concept development to troubleshooting large-scale implementations.

The successful candidate will have strong skills in relational, ‘noSQL’, and big data solutions as well as the technologies that fully realize their potential including a working understanding of multi-modal data processing (ETL and Streaming technologies), master data management approaches, COTS and custom data platform solutions and modern business intelligence with a data-centric approach.

• Work alongside Endava and Client Enterprise & Solution Architects in analyzing, defining, and refining appropriate data architectures.
• Understand customer business goals and reflect these appropriately through the definition of technology and platform stack proposals.
• Advocate good development working practices including the appropriate application of “DevOps” working.
• Proactively review customer solutions and propose improvements and strategic direction, anticipating client goals.
• Work with commercial and sales management participating in reviews.

 

Qualifications and Experience

Core competencies
• Hands-on experience in enterprise organizations working alongside architecture and agile teams, centers of excellence, infrastructure, and cross-functional operations teams.
• Good understanding of various Agile Delivery Models and the ability to understand how they impact Data architectures.
• Excellent soft skills particularly in client and stakeholder expectation management.
• The ability to articulate client requests to cross-functional teams.
• Highly articulate and literate, with excellent written and spoken English levels.
• High levels of ownership and the ability to work with nearshore teams to ensure good client outcomes.
• The ability to demonstrate how Continuous Improvement is embedded in working practices.

 

Technical competencies
• Proficient and competent skills with coding and data structure design.
• Domain data analysis and modeling skills.
• Understanding of different architectural patterns (Micro-services, SOA, n-tier, etc) and  how different data stacks can be used best to deliver them
• Good working knowledge of software versioning tools including GIT, Subversion
• Familiarity and appreciation of JIRA and Confluence and other productivity tools (e.g. Slack, Trello) or equivalent.
• Multi Operating System knowledge: Windows, Linux OS services.
• Understanding of how “data stacks” can be used in the context of continuous delivery
• Knowledge of developments in cloud computing, and their consequences on data storage and processing.
• Expertise in one or more of the following: Oracle/DB2/Postgres/SQL Server, or equivalent.
• Expertise in one or more of the following:  Hadoop, Databricks/Spark, Snowflake, Presto, Kafka with Confluent, Starburst, Dremio, Hive, Pig, Cloudant, ¬Mongo, Cassandra, DynamoDB, Cosmos DB.

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