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Microsoft Fabric Architect (Consulting
Practice)
Microsoft Fabric Architect (Consulting Practice) — BA - Jaipur
At EVOCS, our journey began with a mission to empower businesses with the right
technology solutions. Founded by a team of passionate experts, we have grown into a
trusted partner for organizations seeking innovative and comprehensive tech services. Our
roots in employee‑managed operations reflect our commitment to quality, consistency, and
client success.
Through our devotion to growing and providing the highest quality services, we have
adapted to changing client needs and expanding our repertoire to utilize the finest
Technologies to become subject matter experts.
IMPACT AT EVOCS
As a Microsoft Fabric Architect within EVOCS’ consulting practice, you will lead clients
through discovery, solution design, and delivery of modern analytics platforms on Microsoft
Fabric and the broader Microsoft data stack. You’ll own architecture decisions
end‑to‑end—spanning OneLake, Lakehouse/Warehouse, Data Factory (Pipelines),
Notebooks/Spark, Dataflows Gen2, Semantic Models, and Power BI—and translate
business goals into secure, governable, high‑performance solutions. This is a client‑facing,
hands-on role that blends advisory, architecture, and enablement to help customers ship
value quickly and safely.
WHAT YOU WILL DO | JOB RESPONSIBILITIES
Client discovery, solution architecture & roadmaps
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Run workshops to define personas, data products, KPIs, and success metrics; map
current → target state.
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Produce reference architectures and roadmaps (Now/Next/Later) tailored to each
client’s needs and constraints.
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Author clear architecture decision records (ADRs), estimates, and SOW inputs;
present options and trade‑offs to executives.
Fabric platform design & implementation
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Design secure, scalable Fabric environments: domains, workspaces, capacities
(Pro/Premium/Fabric), and connectivity (gateways/VNet data gateway).●
Architect Lakehouse/Warehouse patterns (Bronze/Silver/Gold), Delta/Parquet
storage, and Direct Lake/Import/DirectQuery strategies for semantic models.
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Orchestrate pipelines with Data Factory/Pipelines and Dataflows Gen2; enable
engineering with Notebooks/Spark and SQL where appropriate.
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Where relevant, leverage Real‑Time capabilities (Event Streams, KQL databases) for
streaming analytics.
Governance, security & compliance
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Implement tenant/workspace governance, role design, RLS/OLS, sensitivity labels,
dataset/report certification, and retention.
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Integrate with Microsoft Purview for catalog, lineage, and glossary; define
dataset/semantic model ownership and data contracts.
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Establish guardrails for self‑service and “fusion teams” (business + IT) via a
pragmatic Center of Excellence (CoE) model.
Performance, reliability & cost optimization
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Tune models and pipelines: partitioning, incremental refresh, semantic modeling
standards, and query performance analysis.
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Monitor capacity health and concurrency; right‑size capacities and schedule
workloads to meet SLAs at sustainable cost.
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Build observability: usage/adoption telemetry, refresh reliability, failure alerts, and
data‑quality checks.
DevOps & lifecycle management
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Set up Git integration and deployment pipelines; enforce CI checks and promotion
(dev/test/prod) with rollback strategies.
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Use Tabular Editor, DAX Studio, ALM Toolkit and automated validation (naming
conventions, BPA rules) for semantic models.
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Document runbooks and support procedures; lead cutovers and hypercare.
Migration & modernization
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Lead migrations from legacy BI/ETL (e.g., on‑prem, ADF/Synapse, Premium‑only
estate) to Fabric with minimal disruption.
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Prioritize quick wins and phased adoption (coexistence patterns, semantic model
consolidation).
Enablement & thought leadership
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Train client teams (analysts, engineers, admins) and publish concise playbooks, style
guides, and accelerator templates.
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Contribute to EVOCS thought leadership with demos, talks, and case studies
showcasing Fabric best practices.WHAT YOU WILL BRING | REQUIRED QUALIFICATIONS
| YOUR PROFILE
Must-have experience & skills
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7–12+ years across data engineering/BI on Microsoft technologies, including recent,
hands-on Microsoft Fabric work.
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Expert Power BI (semantic modeling, DAX, Power Query/M, RLS/OLS, deployment
pipelines) with a portfolio of production solutions.
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Proven design/delivery using Lakehouse/Warehouse, OneLake, Dataflows Gen2,
Data Factory/Pipelines, Notebooks/Spark.
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Strong grasp of Direct Lake vs Import vs DirectQuery trade-offs and composite
models.
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Governance and administration proficiency: capacities, workspace strategy,
sensitivity labels, lineage, gateways, environment setup.
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CI/CD for analytics (GitHub or Azure DevOps), including semantic model ALM and
environment promotion.
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Consulting presence: leads workshops, frames problems, presents options, and
writes clear architectural documents for executives.
Nice to have
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Microsoft certifications (e.g., DP‑600 Fabric Analytics Engineer, PL‑300 Power BI
Data Analyst, DP‑203 Azure Data Engineer).
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Experience with Microsoft Purview, custom visuals (e.g., Deneb/Vega‑Lite), mobile
layouts, and accessibility (WCAG 2.2 AA).
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Kusto Query Language (KQL) for real‑time analytics; Python/Scala for Spark; basic
data-science collaboration.
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Familiarity with Semantic Link (SemPy) to connect notebooks with semantic models
and with responsible use of Copilot in Fabric.
Traits that succeed here
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Systems thinker who balances speed, simplicity, and governance.
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Hands-on architect who can dive deep yet explain trade-offs clearly to non-technical
stakeholders.
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Collaborative consultant who creates clarity, earns trust, and teaches as they build.
OUR VALUES
We are privileged to serve our loyal customer base in our mission to build lasting
relationships with our clients based on trust and mutual success. We strive to deliver
exceptional quality and consistency through a white-glove approach. By empowering
businesses with tailored solutions and insights, we help them achieve their goals and
navigate the ever-evolving tech landscape.The values we live by:
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Customer-centric Solutions
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Innovation & Excellence
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Integrity & Transparency
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Data-driven Decision Making