About our Team
The Data Consulting Practice is responsible for building modern and innovative technology services which enable our customers to successfully realize value from data. Currently, the Practice focuses on four data technology domains:
- Data strategy: How to deliver a structured approach to design and execute data and analytics programs which are linked to an organization’s business strategy?
- Data platforms: How to optimize existing data platform architectures and technology designs to improve technical and cost performance?
- Data management: How to govern and manage data more efficiently, enabling organizations to achieve better business outcomes?
- Data consumption: How to enable visual data communication in organizations and realize value from data through actionable insights which deliver value?
Who we are looking for
This is a senior position within the practice with a mission to supporting our customers to maximize the ROI of all data related investments through optimization of existing or migration to modernized data platforms promising a robust architecture, better data management and improved performance. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career working for Fortune Global 500 companies. The role will report to the Head of Data Consulting.
We are looking for an experienced consultant with a hands-on technical and consulting background and experience in both technology services as well as in a business-focused industry (e.g. RCPG, Lifesciences, BFSI etc.).
Responsibilities
- Advising and working with senior client executives on how to ingest, govern, process and manage data more effectively, and implement modern and innovative technology solutions, becoming the “trusted advisor”.
- Lead data platform assessments to help clients improve capabilities from current state to the target state of maturity by creating technology roadmaps and implementation plans together with quantified value realization measures.
- Lead the effective collaboration with sales and account management to cater to needs of both new and existing customers.
- Provide technical pre-sales services to customers and participate in the creation of customer proposals, statement of work (SOWs) and project scoping calls.
- Collection of lessons learnt from delivery engagements to continuously improve the consulting services and Lingaro’s knowledgebase.
- Support knowledge and skills capacity enablement in Delivery teams.
- Collaborate with Lingaro’s technology partners to evolve existing frameworks, methodologies, and best practices in the delivery of data technology engagements and creation of joined consulting delivery plans.
- Lead, mentor, support and coach data platform technology consultants and help them in identifying and creating repeatable methodologies and templates for effectively delivering data platform solutions.
- Keep the practice at the forefront of the Data Consulting (by interacting with the ecosystem, attending conferences, getting certifications, interactions with external advisors, reading articles…)
- Participate and develop personal branding in knowledge sharing communities – internally and externally.
- Assess and apply the latest developments in data platform and data management technologies on cloud.
- Support in the generation of leads through thought leadership: articles, analysis, white papers, public presentations, webinars etc.
- Gather outside-in perspective, generation/adoption/implementation of innovative ideas, and development of accelerators.
Required Skills, Knowledge and Experience
- Tech in Computer Science, Computer Engineering, or another engineering area.
- Overall 10-15 years of experience with expertise in designing and building data management ecosystems on GCP-Dataplex, Databricks, or MS Fabric. Deep practical subject matter expertise in Big Data ecosystems.
- 5-10 years hands-on experience in multiple data management areas such as data architecture, data platform solution architecture, data modeling, data quality and observability, data stewardship, master data management, metadata management, data operations, data security etc.
- Experience in one or more cloud-native data cataloging, and data quality solutions – e.g. MS Purview, Databricks Unity Catalog, GCP Clouddq etc.
- Excellent command over implementation of modern data architectures such as Data Fabric, Data Mesh, and Data Lakehouse.
- Experienced in building relationships with directors and C-levels stakeholders by developing a deep understanding of the business and driving data-driven insights.
- Hands-on experience in running stakeholder workshops and other collaboration sessions to discover customer priorities, understand current state, and determine maturity/readiness to execute data platform modernizations.
- Expertise on industry & market trends with tools scoring model for selecting fit for purpose technology solution and tailoring and applying industry best practices at scale.
- Deep understanding of modern technology trends and data stacks in data management and governance.
- Experience in definition and development of new consulting service offerings as well as developing white papers and best practices.
- Ability to deliver consulting services to:
- Help our customers better leverage native services on cloud to deliver a highly efficient data management and governance ecosystem.
- Recognize functionality gaps in cloud native services with respect to customer’s requirements and propose alternate yet synergistic solutions for better data management and governance.
- Delivering structured approach for assessments and recommendations.
- Advise implementation of standard operating procedures in customer’s data management organization.
- Support data platform modernization initiatives
- Support in the development of migration and adoption strategies that accelerate customer business value realization.
- Contribute to the creation of cloud-based architecture blueprints and best practices.
- Willingness to travel on business(0-30%).
- Consulting mindset, true interest, and motivation to engage in assessment and optimization projects.
- Ability to coach, manage and develop diverse technology team.
- Excellent English written and verbal communication skills for technical writing and business presentations.
- Familiarity with Cloud Architecture Frameworks (Cloud Adoption Framework, Data Cloud, Well Architected frameworks).
Good to Have Skills:
One or more of the below mentioned certifications will be a big plus:
- GCP Certified Professional Cloud Architect, GCP Certified Associate Cloud Engineer, or GCP Certified Professional Data Engineer.
- Experience in implementation of solutions leveraging commercial or open-source products in data cataloging, data quality, and/or observability.
- Certifications in any data management tool: e.g. Alation, Atlan, Collibra, TIBCO, Talend, Reltio, Precisely, Ataccama, BOOMI MDM, Informatica etc.
- Microsoft Azure Solutions Architect Expert. Microsoft Fabric Analytics Engineer Associate.
- Databricks certified Data Engineer Professional.