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Lead Technical Architect (Strategy & Optimization Data Lake & Analytics)

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Lead Technical Architect (Strategy & Optimization Data Lake & Analytics) Experience: 10+ years Location: Onsite (Noida) Reports To: Client Stakeholders / Delivery Head Responsibilities Manage Project Delivery, scope, timelines, budget, resource allocation, and risk mitigation. Develop and maintain robust data ingestion pipelines (batch, streaming, API). Provide architectural inputs during incident escalations and act as final authority for RCA documentation and closure. of ADF, Power BI, and Databricks. Define and enforce data governance, metadata, and quality standards across zones. Monitor performance, optimize data formats (e.g., Parquet), and tune for cost-efficiency. Tune query performance for Databricks and Power BI datasets using optimization techniques (e.g. caching, BI Engine, materialized views). Lead and mentor a team of data engineers, fostering skills in Azure services and DevOps. Guide schema designs for new datasets and integrations aligned with Diageo’s analytics strategy. Coordinate cross-functional stakeholders (security, DevOps, business) for aligned execution. Oversee incident and change management with SLA adherence and continuous improvement. Serve as the governance owner for SLA compliance, IAM policies, encryption standards, and data retention strategies. Ensure compliance with policies (RBAC, ACLs, encryption) and regulatory audits. Initial data collection for RCA Report project status, KPIs, and business value to senior leadership. Lead monthly and quarterly reviews, presenting insights, improvements, and roadmap alignment to Diageo stakeholders. Required Skills Strong architecture-level expertise in Azure Data Platform (ADLS, ADF, Databricks, Synapse, Power BI). Deep understanding of data lake zone structuring, data lineage, metadata governance, and compliance (e.g., GDPR, ISO). Expert in Spark, PySpark, SQL, JSON, and automation tooling (ARM, Bicep, Terraform optional). Capable of aligning technical designs with business KPIs and change control frameworks. Excellent stakeholder communication, team mentoring, and leadership capabilities. Show more Show less

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