Lead Technical Architect

10 - 14 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As the Lead Technical Architect for Strategy & Optimization Data Lake & Analytics, your role will involve the following responsibilities: - Manage Project Delivery, including overseeing scope, timelines, budget, resource allocation, and risk mitigation. - Develop and maintain robust data ingestion pipelines, covering batch, streaming, and API sources. - Provide architectural inputs during incident escalations and act as the final authority for RCA documentation and closure related to ADF, Power BI, and Databricks. - Define and enforce data governance, metadata, and quality standards across different zones. - Monitor performance, optimize data formats such as Parquet, and tune for cost-efficiency. Utilize optimization techniques like caching, BI Engine, and materialized views for tuning query performance in Databricks and Power BI datasets. - 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 the company's analytics strategy. - Coordinate with cross-functional stakeholders (security, DevOps, business) for aligned execution of projects. - Oversee incident and change management processes with a focus on 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 such as RBAC, ACLs, encryption, and regulatory audits. Initiate data collection for RCA purposes. - Report project status, KPIs, and business value to senior leadership. Lead monthly and quarterly reviews, presenting insights, improvements, and roadmap alignment to 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 standards like GDPR and ISO. - Proficiency in Spark, PySpark, SQL, JSON, and automation tooling (ARM, Bicep, Terraform optional). - Ability to align technical designs with business KPIs and change control frameworks. - Excellent stakeholder communication, team mentoring, and leadership capabilities.,

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