Senior Implementation Lead - Data Lake & Segmentation

Grade Level: L3 Location: Islamabad Last date to apply:26th January 2026 What is Senior Implementation Lead – Data Lake & Segmentation?
We are seeking a highly experienced Senior Implementation Lead to design, deploy, and manage an enterprise-scale Data Lake architecture , with strong ownership of data segmentation, security zones, and governance .
The role involves leading end-to-end implementation—from solution design to production rollout and managed operations—while coordinating with architecture, data engineering, security, and business teams.
Key Responsibilities Data Lake Implementation & Architecture Lead the end-to-end implementation of the enterprise Data Lake architecture, including ingestion, storage, processing, and consumption layers Implement multi-zone data lake design (e.
g., landing/raw, curated, trusted, consumption zones) as defined in the architecture Ensure scalability, high availability, and performance of the Data Lake platform Translate high-level architecture into Low-Level Designs (LLDs) and deployment plans Data Segmentation & Security Design and implement data segmentation strategies based on: Business domains Sensitivity levels (PII, confidential, public data) Regulatory and compliance requirements Enforce logical and physical data separation using: Access control policies Network segmentation Encryption and key management Integrate identity and access management (IAM) and role-based access control (RBAC) across data lake layers Integration & Data Pipelines Lead deployment/development of batch and streaming data ingestion pipelines Integrate structured, semi-structured, and unstructured data sources Ensure reliable data movement across segmented zones with proper controls Operations & Managed Services Own post-implementation operations , including monitoring, incident management, and performance tuning Define SLA/SLOs , operational runbooks, and escalation procedures Lead L2/L3 support for Data Lake platform issues Drive continuous improvement and optimization initiatives Leadership & Stakeholder Management Act as the technical lead for Data Lake delivery engagements Coordinate with enterprise architects, security teams, and business stakeholders Mentor data engineers and implementation teams Provide regular status updates, risk assessments, and architectural guidance Jazz is an equal opportunity employer.
We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees Why Join Jazz?
As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.
Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer-obsession.
As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 70+ million customers for the better.
This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success.
Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.
What are we looking for and what does it require to be an Senior Implementation Lead – Data Lake & Segmentation?
Technical Skills 5+ years of experience in data platform or large-scale system implementation Strong hands-on experience with Data Lake architectures Proven expertise in: Data lake zoning and segmentation Data security and access controls Metadata, lineage, and governance tools Experience with distributed storage and compute platforms Strong understanding of ETL/ELT, data pipelines, and orchestration Architecture & Design Experience producing HLDs and LLDs for enterprise data platforms Strong understanding of data lifecycle management Ability to align technical design with business and compliance needs Leadership & Delivery Experience leading large implementation teams Strong stakeholder communication and decision-making skills Ability to manage multiple workstreams and priorities Preferred Qualifications Experience with regulated or large enterprise environments Background in security-by-design data platforms Relevant certifications in data platforms (preferred but not mandatory) Hadoop, Spark,Kafka handson experience for deployment Key Success Metrics Successful deployment of segmented Data Lake architecture Compliance with security and governance standards Platform stability, performance, and adoption Timely delivery within scope and budget