Fabric Data Engineer/Lead

Fabric Data Engineer/Lead Image

Skill Set :

Data Architecture,Fabric

Total Experience :

12.00 to 15.00 Years

No of Openings :

1

Job Post Date :

07/05/2026

Job Expiry Date :

30/06/2026

Domain :

IT

Location :

NEW YORK

[United States]

Job Reference No :

4068486 Job Summary Fabric Data Engineer/Lead (Day1 Onsite) Arlington, VA (Priority 1) and St. Louis, MO (Priority 2) Experience 8-12+ years in Data Architecture / Analytics Platforms / Cloud Data Engineering 2-4+ years in Microsoft analytics ecosystem (Fabric / Power BI / Synapse / Azure Data) Proven experience designing platforms for large enterprises (multi-team, multi-domain, 1k+ users) Experience implementing governance and security at scale Key Responsibilities (Must-Have)

Fabric Platform Design & Workspace Architecture:

Design scalable workspace and capacity strategy: Domain-aligned and environment-separated structure (dev/test/prod) Naming conventions, tagging/taxonomy, ownership model Design OneLake organization: Folder conventions, zones (landing/curated/serving), lifecycle conventions Standards for Delta table structure, partitioning, retention, and schema evolution Define item and data product blueprints: When to use Lakehouse vs Warehouse vs Real-time capabilities How to structure pipelines, notebooks, dataflows, and semantic models Define and implement architecture patterns: Medallion architecture standards and curated modeling approach Dimensional modeling strategy for data marts Semantic model standards for reuse, performance, and governance Security & identity

Setup:

Microsoft Entra ID group-based RBAC Least privilege patterns, separation of duties RLS/OLS patterns in semantic models Design and Setup Governance, including but not limited to: Apply Fabric-native governance best practices: Workspace roles and permission bundles for personas Controlled sharing patterns to reduce data sprawl Standards for certification/endorsement process Work with governance teams to ensure: Metadata capture conventions are consistently applied Data Lineage is captured Sensitivity labeling strategy is embedded in workflows Build Frameworks around

DevOps & Automation:

CI/CD (Git workflows, release/promotion strategies) Scripting/automation mindset (PowerShell/Python preferred; REST APIs)

Monitoring, Observability & Operational Readiness:

Design and implement monitoring for: Pipelines, notebooks, dataflows execution success and runtimes Warehouse/Lakehouse query performance and refresh health Semantic model refresh and usage trends Capacity utilization and throttling patterns Define alerting thresholds, incident classification, and runbooks Drive operational readiness gates before production cutovers

Cost Optimization:

Implement design-time and run-time cost optimization: Scheduling and workload shaping to reduce peak contention Reuse strategies (shared curated layers, shared semantic models) Identify duplication and encourage governed reuse (OneLake alignment) Provide capacity strategy inputs: Right-sizing, workload isolation guidance for critical workloads Cost allocation approach by workspace/domain where feasible Enablement, Standards, and Collaboration with Delivery Teams Define "golden path" patterns and accelerate delivery: Templates and standards for pipelines and lakehouse layout PR review checklists for Fabric engineering deliverables Provide architecture oversight during implementation: Design reviews, technical governance checkpoints, risk mitigation Coach teams on best practices: Performance, security, operational readiness, and governance adoption Behavioral Competencies Strong architectural thinking with a platform engineering mindset Excellent stakeholder management and communication (technical + executive) Ability to define standards and drive adoption across teams Pragmatic approach—balances governance with agility and self-service Strong documentation discipline (blueprints, playbooks, reference patterns) The pay range for this role is $120k - $135k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. Thanks & Regards Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com."