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4 days ago
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Big Data Solution Architect


QinetiQ
Salary: In line with experience
Location: Malvern
Job type: Permanent
Sector: Software Engineering
Category: Architects Jobs
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QinetiQ comprises teams of dedicated people; experts in defence, aerospace, security and related markets. We draw on our extensive technical knowledge and intellectual property to provide the know-how and support to solve some of the world’s most challenging problems. Our people make the critical difference to customers by providing unique approaches to problem solving. Why don’t you join some of the world’s finest scientific and technical minds and help us make tomorrow work today?

Job description/Person specification

Based in either Malvern, Farnborough or London, we are looking to appoint an experienced professional to work in a leadership role for an established team. The team has a number of inflight projects in the areas of Big Data, Machine Learning and Natural Language Processing for Security, Defence and Commercial customers, and includes software engineers, systems engineers and Human Science practitioners as well as Data Science specialists.

The team has the goal of maintaining and developing a leading-edge Data Analytics capability to support projects across the whole company. Experience working in a customer-facing role is required, as the role will require some time working on customer sites. Also required is the ability to technically lead bids and projects, communicate openly, think creatively, collaborate, and influence a range of stakeholders.

Full time/Part time or flexible working arrangements will be considered for the right candidate.

Overall Purpose of the Job:

• Technical Leadership of bids and projects
• Technical Sales – supporting the Business Development team to discuss possible solutions with customers
• Leadership within an area of QinetiQ’s business (an Integrated Delivery Team (IDT)) that needs an enduring Big Data capability
• Governance, review of customer deliverables

Key Accountabilities:

• Accountable to the QinetiQ Project Manager(s) and customer(s) for producing high quality technical output that:
o Satisfies the customer requirements
o Is consistent with QinetiQ strategy in Big Data and Data Analytics
• Accountable to the BD team for high-quality and timely material supporting the winning of new business with customers
• Accountable to the IDT Leader as part of their leadership team for maintaining and developing a growing team in Big Data Engineering, which covers members from other QinetiQ disciplines such as Software Engineering and Systems Engineering.
• Accountable to the Technical Excellence function in QinetiQ for the quality of customer deliverables.

Essential Knowledge, Skills and Experience Required:

• Qualified to at least University Honours Degree or equivalent demonstrable experience.
• Good track record of technical leadership of Data Analytics projects.
• Exposure to Cloud technologies.
• Experienced and knowledgeable in many aspects of the engineering of Big Data systems, including a good number of the Open-source and branded tools and languages listed below.
• Enthusiastic and willing to work flexibly to be part of a high-performing team.
• Proven experience of working in a consultancy role, focused on customer needs and requirements or equivalent engineering role with customer/stakeholder exposure and influence.
• Experience across the full product development lifecycle from requirements to user testing.
• Excellent verbal and written technical communications skills.

Big Data tools include: ElasticSearch, Hadoop, Spark, Solr, Salt/Puppet/Ansible, Zookeeper, Accumulo, Kafka, MongoDB, Neo4J. Also Cassandra, Apache Storm, IBM Infosphere Streams, Oracle 11/12, ZeroMQ, OrientDB.
Languages include: Java/Scala, Python, Bash.
Operating systems include: Linux (various flavours).
Experience of AWS and/or Azure.

Desirable Experience of some or all of the following:

• Experience in leading Agile or scaled Agile teams, or a member of this type of team.
• Familiarity with a DevOps environment
• More general systems engineering design and implementation processes

Successful candidate will need to be eligible for high level security clearance up to DV.
QinetiQ comprises teams of dedicated people; experts in defence, aerospace, security and related markets. We draw on our extensive technical knowledge and intellectual property to provide the know-how and support to solve some of the world’s most challenging problems. Our people make the critical difference to customers by providing unique approaches to problem solving. Why don’t you join some of the world’s finest scientific and technical minds and help us make tomorrow work today?

Job description/Person specification

Based in either Malvern, Farnborough or London, we are looking to appoint an experienced professional to work in a leadership role for an established team. The team has a number of inflight projects in the areas of Big Data, Machine Learning and Natural Language Processing for Security, Defence and Commercial customers, and includes software engineers, systems engineers and Human Science practitioners as well as Data Science specialists.

The team has the goal of maintaining and developing a leading-edge Data Analytics capability to support projects across the whole company. Experience working in a customer-facing role is required, as the role will require some time working on customer sites. Also required is the ability to technically lead bids and projects, communicate openly, think creatively, collaborate, and influence a range of stakeholders.

Full time/Part time or flexible working arrangements will be considered for the right candidate.

Overall Purpose of the Job:

• Technical Leadership of bids and projects
• Technical Sales – supporting the Business Development team to discuss possible solutions with customers
• Leadership within an area of QinetiQ’s business (an Integrated Delivery Team (IDT)) that needs an enduring Big Data capability
• Governance, review of customer deliverables

Key Accountabilities:

• Accountable to the QinetiQ Project Manager(s) and customer(s) for producing high quality technical output that:
o Satisfies the customer requirements
o Is consistent with QinetiQ strategy in Big Data and Data Analytics
• Accountable to the BD team for high-quality and timely material supporting the winning of new business with customers
• Accountable to the IDT Leader as part of their leadership team for maintaining and developing a growing team in Big Data Engineering, which covers members from other QinetiQ disciplines such as Software Engineering and Systems Engineering.
• Accountable to the Technical Excellence function in QinetiQ for the quality of customer deliverables.

Essential Knowledge, Skills and Experience Required:

• Qualified to at least University Honours Degree or equivalent demonstrable experience.
• Good track record of technical leadership of Data Analytics projects.
• Exposure to Cloud technologies.
• Experienced and knowledgeable in many aspects of the engineering of Big Data systems, including a good number of the Open-source and branded tools and languages listed below.
• Enthusiastic and willing to work flexibly to be part of a high-performing team.
• Proven experience of working in a consultancy role, focused on customer needs and requirements or equivalent engineering role with customer/stakeholder exposure and influence.
• Experience across the full product development lifecycle from requirements to user testing.
• Excellent verbal and written technical communications skills.

Big Data tools include: ElasticSearch, Hadoop, Spark, Solr, Salt/Puppet/Ansible, Zookeeper, Accumulo, Kafka, MongoDB, Neo4J. Also Cassandra, Apache Storm, IBM Infosphere Streams, Oracle 11/12, ZeroMQ, OrientDB.
Languages include: Java/Scala, Python, Bash.
Operating systems include: Linux (various flavours).
Experience of AWS and/or Azure.

Desirable Experience of some or all of the following:

• Experience in leading Agile or scaled Agile teams, or a member of this type of team.
• Familiarity with a DevOps environment
• More general systems engineering design and implementation processes

Successful candidate will need to be eligible for high level security clearance up to DV.
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