Protiviti UK
London Data & Analytics Senior Manager
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London Data & Analytics Senior Manager
Location
LONDON
Job Description
You Belong Here
The Protiviti Career provides opportunity to learn, inspire and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean into our mission: We Care. We Collaborate. We Deliver. At every level, we champion leaders who live our values of integrity, inclusion, innovation and commitment to success. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.
Where We Need You
We are seeking a Senior Manager, Data Architecture to join Protiviti's Data & Analytics practice in the UK. This is a senior technical consulting role for an experienced cloud data architect who can lead the design and end-to-end delivery of modern enterprise data platforms, with particular depth in Databricks, Microsoft Fabric and cloud data architecture.
You will work with clients to translate complex business and technology requirements into scalable, secure and practical data solutions. You will combine strong technical expertise with client leadership, project delivery, bids and proposal development, and people development, while maintaining chargeability in line with agreed targets.
What You Can Expect
Senior Managers partner with our clients to solve complex business problems and provide best-in-class advice and solutions. You will develop a strong understanding of your clients' businesses, provide technical leadership within your area of expertise and translate challenging requirements into practical solutions.
You will take responsibility for successful project delivery, build trusted client relationships and contribute to developing opportunities with existing and new clients. This includes shaping solutions, preparing bids and proposals, supporting client presentations and estimations, and balancing client delivery with practice-building responsibilities.
As a senior member of the Data & Analytics practice, you will also help develop our people and capabilities, share knowledge and provide technical direction to colleagues. You will be expected to manage assigned resources effectively across client delivery, practice commitments and business development activity, ensuring capacity is planned and deployed in a way that supports high-quality delivery and maintains optimal chargeability in line with agreed targets.
Key Responsibilities
Cloud & Data Architecture Leadership
- Lead the design and end-to-end delivery of scalable, secure and resilient cloud data architectures aligned to client business and technology objectives.
- Translate business requirements into pragmatic data architectures, technical roadmaps and implementation approaches.
- Provide technical leadership across modern data platforms, helping clients make appropriate architecture and technology decisions.
Databricks & Modern Data Platforms
- Design enterprise Databricks and Lakehouse solutions incorporating technologies and patterns such as Delta Lake, medallion architecture, Unity Catalog and Databricks SQL.
- Apply strong knowledge of modern cloud data ecosystems, including Azure and/or AWS, with experience architecting and delivering solutions across Databricks and Microsoft Fabric.
- Architect maintainable and scalable data solutions that meet appropriate performance, security, governance and operational requirements.
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Data Engineering & Integration
- Shape scalable batch and real-time data pipelines using modern cloud-native data engineering technologies.
- Provide technical direction across data modelling, ingestion, transformation, orchestration and integration.
- Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments.
Governance, Security & Quality
- Embed effective data governance, security, quality and access controls within cloud data environments.
- Ensure architecture decisions appropriately balance scalability, performance, security, cost and maintainability.
Cloud Migration & Modernisation
- Lead the modernisation or migration of legacy and on-premises data environments to cloud-based platforms.
- Define appropriate transition architectures and approaches that support successful implementation and ongoing operation.
Engineering Standards & Optimisation
- Establish effective approaches to DataOps, CI/CD and infrastructure automation.
- Promote strong engineering standards, reusable implementation approaches and effective monitoring.
- Support the performance and cost optimisation of cloud data environments.
Client Delivery, Bids & Commercial Contribution
- Lead technical delivery across complex client assignments, maintaining strong standards for quality, risk management and project delivery.
- Build trusted relationships with senior business and technology stakeholders.
- Lead or contribute to solution shaping, bids, proposals, client presentations, estimations and other business development activity.
- Develop clear and credible technical responses that connect client needs with practical delivery approaches and commercial considerations.
- Identify opportunities to create further value for existing and prospective clients.
- Contribute to agreed sales targets through business development activity, opportunity identification and proposal support, while planning delivery and practice commitments effectively to maintain optimisation of chargeability in line with agreed targets.
People & Practice Development
- Provide technical leadership, coaching and mentoring to architects, data engineers and other colleagues.
- Create opportunities for knowledge sharing and capability development within the practice.
- Contribute to recruiting activity and the continued development of Protiviti's Data & Analytics capability.
- Stay current with developments in cloud, data, analytics and AI technologies and help assess their potential application to client challenges.
Do Your Talents Include the Following?
- Significant experience designing and delivering enterprise cloud data architectures within complex client or business environments.
- Deep expertise in Databricks and modern Lakehouse architecture, including practical knowledge of Delta Lake and Unity Catalog.
- Strong experience with Microsoft Azure and/or AWS and modern enterprise data platforms, including Databricks, Microsoft Fabric or another cloud data platform.
- Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches.
- Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines.
- Experience designing appropriate data governance, security and data quality controls.
- Experience with modern engineering and deployment practices, including DataOps, CI/CD and infrastructure as code.
- Strong technical problem-solving skills and the ability to translate complex requirements into practical solutions.
- Experience leading complex technical delivery and providing direction to multidisciplinary teams.
- Strong client relationship, communication and presentation skills, with the ability to communicate effectively with technical and non-technical stakeholders.
- Demonstrable experience developing bids, proposals, solution responses and client presentations.
- Commercial awareness, including the ability to balance delivery, business development and chargeability expectations.
- Experience coaching and developing others.
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Desirable Experience
- Experience with Snowflake or other enterprise data platforms.
- Relevant Databricks accreditation or certification.
- Relevant Microsoft Azure, AWS or comparable cloud certification.
- Experience with AI/ML data workflows and advanced analytics.
- Experience with containerisation technologies such as Docker or Kubernetes.
Your Educational & Professional Qualifications
- A degree in Computer Science, Information Technology or a related discipline, or equivalent relevant professional experience is desirable.
- Significant professional experience in data architecture, data engineering or technology consulting, including leadership of complex cloud data engagements.
Our Workplace and Employment Process
Protiviti practices a hybrid working model, combining purposeful in-person collaboration with remote working. The balance of remote and in-person working is primarily dependent on client, project, team and business requirements. This may include working from a local Protiviti office, on client sites, or remotely, and may require local or UK-wide travel based on client and project commitments.
Remuneration and Benefits
Starting salaries are competitive and based on a full-time equivalent schedule. Placement within the salary range is dependent on experience, skills and geographic work location.
Employees are eligible for medical and dental insurance cover, life assurance, pension scheme contributions and up to 25 days’ holiday per calendar year. Protiviti also recognises up to 10 paid holidays each calendar year and additional benefits as part of Robert Half Enterprise.
As part of Protiviti’s employment process, any offer of employment is contingent upon successful completion of a background check.
Protiviti is an Equal Opportunity Employer. We are committed to offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable adjustment to search for a job opening or apply for a position, please contact us at recruitment@protiviti.co.uk.
Protiviti is not licensed or registered as a public accounting firm and does not issue opinions on financial statements or offer attestation services.
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