Super Technologies
technology
SeniorAnalyticsEngineer-TableauCloudPlatform
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“Senior Analytics Engineer - Tableau Cloud Platform at Super Technologies. Skills: Tableau Cloud platform, analytics content governance, data exploration, insights within Tableau Cloud+, Tableau Cloud governance, automation and tooling around Tableau operational workflows, platform reliability and quality, documentation. Deliver medium-to-large, multi-step initiatives independently within the Tableau platform domain, taking ownership from problem definition through rollout and documentation. Supp”
What You'll Achieve.
scale and operate our Tableau Cloud platform; standardize how analytics content is governed, accessed, and supported across the company; make it the most widely used platform in the world; ship well-scoped platform outcomes end-to-end; reduce manual work; improve repeatability; lower risk; enable self-serve for both content creators and content consumers; measurable, repeatable, debuggable processes
Industry & Context.
identifying recurring operational issues (access friction, permission drift, content sprawl signals) and delivering concrete fixes
What They're Looking For.
Must Have
engineering and/or analytics background, proven experience building analytical datasets and metrics in a modern data warehouse, Proven delivery with Tableau, including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust, Proven ability to deliver medium-to-large engineering work independently, by breaking down ambiguous requests into shippable milestones, communicating progress, and landing changes with high quality, Scripting/automation skills and comfort working with APIs and operational tooling, A production mindset: you care about reliability, maintainability, documentation, and operational ownership - not just shipping once but ensuring overall support and success, Working knowledge of access control concepts (roles/groups, inheritance, least privilege)
Nice to Have
Hands-on Tableau Server/Cloud administration experience (projects, permissions, site roles, extracts/schedules), Familiarity with identity/provisioning concepts such as SSO/SAML and SCIM, and experience partnering with IT/security teams on access changes, Experience building platform runbooks and operational practices (rollouts, validation, troubleshooting playbooks), Experience in data governance / catalog / lineage tooling (e. g. , DataHub, Colibra, Informatica) and metadata continuity challenges, Experience operating BI platforms in high-growth environments where structure and definitions evolve quickly
What You'll Do.
Deliver medium-to-large
multi-step initiatives independently within the Tableau platform domain
taking ownership from problem definition through rollout and documentation
Support & explore Tableau Cloud+ ecosystem
including agentic AI features - Tableau Agent
Tableau Pulse and other venues of data exploration & insights within Tableau Cloud+ ecosystem
Explore other tools/platforms for data exploration and visualisation
Implement and evolve Tableau Cloud governance: project structure
permission boundaries
group-based access patterns
and guardrails to prevent long-term drift
Build automation and tooling around Tableau operational workflows (e. g.
APIs/scripts) to reduce manual work
improve repeatability
Improve platform reliability and quality by identifying recurring operational issues (access friction
content sprawl signals) and delivering concrete fixes
practical documentation that enables self-serve for both content creators and content consumers (how-to guides
standards & best practices)
Raise the engineering bar in your area through thoughtful reviews
pragmatic testing/validation
and operational hygiene (measurable
debuggable processes)
Ensure holistic approach to the entire data architecture
with horizontal best practices supported and enforced
How You'll Work.
Team & Collaboration
Partner closely with Platform/IT/Security, Data Engineering, and Analytics teams; Work alongside the Tableau platform lead to ship well-scoped platform outcomes end-to-end; Collaborate cross-functionally with Platform/IT/Security, analytics (platform) engineering, 3rd party consultancy stakeholders and others to coordinate changes that impact access, identity, and rollout sequencing; Collaborate with your core team colleagues from the Data Tooling team
Communication Scope
write clear, actionable docs; coordinate with technical and non-technical stakeholders; write clear, practical documentation
Process & Methodology
breaking down ambiguous requests into shippable milestones, communicating progress, landing changes with high quality
Full Job Description
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. We’re looking for a Senior Analytics Engineer focusing on Tableau ecosystem to help us scale and operate our Tableau Cloud platform and standardize how analytics content is governed, accessed, and supported across the company. This is an individual contributor engineering role focused on execution, quality, and operational ownership: building automation, implementing governance patterns, improving reliability, and creating the “paved paths” that make Tableau easy and safe to use at scale. You’ll partner closely with Platform/IT/Security, Data Engineering, and Analytics teams, and work alongside the Tableau platform lead to ship well-scoped platform outcomes end-to-end. What you'll be doing: Deliver medium-to-large, multi-step initiatives independently within the Tableau platform domain, taking ownership from problem definition through rollout and documentation Support & explore Tableau Cloud+ ecosystem, including agentic AI features - Tableau Agent, Tableau Pulse and other venues of data exploration & insights within Tableau Cloud+ ecosystem Explore other tools/platforms for data exploration and visualisation Implement and evolve Tableau Cloud governance: project structure, permission boundaries, group-based access patterns, and guardrails to prevent long-term drift Build automation and tooling around Tableau operational workflows (e.g., APIs/scripts) to reduce manual work, improve repeatability, and lower risk Improve platform reliability and quality by identifying recurring operational issues (access friction, permission drift,
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