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data engineering lead

NorthBay Solutions

<div><h2 class="jobSectionHeader">Job Title: Data Architect &ndash; AWS</h2>
Experience: 12+ Years 
Location: Hybrid &ndash; Lahore, Karachi, Islamabad 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Position Overview</h2>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul>
OJhL7KfAS8</div>

Data Architect – AWS

Topdot Pvt Ltd

Head of Data &amp; AILocation: Pakistan / Middle East (Hybrid) Experience: 10+ years Industry: Data, AI, Analytics, Cloud, Digital Transformation Role Type: Leadership / Principal Consultant / Practice Head Reporting To: CEO / Executive LeadershipAbout DigifloatDigifloat is a global technology and consulting company specializing in Data Engineering, Advanced Analytics, Artificial Intelligence, Generative AI, and Enterprise Platforms. We partner with leading enterprises across the Middle East, Europe, and Asia to design and deliver large-scale data and AI platforms that drive measurable business outcomes.Our portfolio spans enterprise data platforms, AI copilots, GenAI solutions, regulatory data platforms, industry-specific analytics, and proprietary accelerators such as Qube, GenBI, and LawGPT.We are building a leadership team that combines deep technical authority with strong commercial and advisory capability.Role OverviewWe are seeking a Head of Data &amp; AI to serve as Digifloat&rsquo;s principal authority for all Data, Analytics, AI, and Generative AI initiatives.This is not a pure delivery or engineering management role. It is a hybrid leadership position that spans:<ul><li>Strategic technology leadership</li><li>Enterprise architecture authority</li><li>Client advisory</li><li>Presales and proposal ownership</li><li>Program governance and delivery oversight</li><li>Practice building and team scaling</li><li>Business development and partnerships</li></ul>The ideal candidate will act as Digifloat&rsquo;s face of Data &amp; AI in front of clients, partners, and internal teams.Key Responsibilities1) Strategic Technology Leadership &amp; Architecture Authority<ul><li>Define and own Digifloat&rsquo;s enterprise data and AI reference architectures.</li><li>Establish standard solution blueprints across:</li><li>Lakehouse, Warehouse, and Data Mesh architectures</li><li>Streaming and batch data platforms</li><li>ML, MLOps, and GenAI (RAG, agents, copilots)</li><li>Evaluate and recommend appropriate platforms based on:</li><li>Client context</li><li>Scale and performance requirements</li><li>Security and regulatory constraints</li><li>Cost and commercial viability</li><li>Act as final technical authority for major architectural decisions.</li><li>Define best practices for:</li><li>Data engineering</li><li>Analytics engineering</li><li>MLOps</li><li>GenAI solution design</li><li>Platform security and governance</li></ul>2) Presales Leadership &amp; Proposal Ownership<ul><li>Lead solution design for large RFPs, RFQs, and strategic proposals.</li><li>Own the technical narrative in:</li><li>Proposals</li><li>Statements of Work (SoWs)</li><li>Architecture sections</li><li>Implementation approaches</li><li>Effort estimations</li><li>Technical assumptions</li><li>Represent Digifloat in:</li><li>Proposal defenses</li><li>Client workshops</li><li>Executive solution briefings</li><li>Architecture review sessions</li><li>Guide presales teams on:</li><li>Platform selection</li><li>Solution positioning</li><li>Commercial trade-offs</li><li>Delivery phasing and roadmap definition</li></ul>3) Client Advisory &amp; Executive Engagement<ul><li>Act as a trusted technical advisor to:</li><li>CIOs</li><li>CTOs</li><li>Heads of Data</li><li>Chief Digital Officers</li><li>Business leadership</li><li>Lead client discovery sessions and strategic roadmap discussions.</li><li>Translate business objectives into scalable data and AI strategies.</li><li>Support account expansion and long-term roadmap planning for strategic clients.</li><li>Maintain senior-level client relationships across key accounts.</li></ul>4) Delivery Oversight &amp; Program Governance<ul><li>Provide architectural and technical oversight across all major data and AI programs.</li><li>Review and approve:</li><li>Solution designs</li><li>Platform architectures</li><li>Security designs</li><li>Data models</li><li>AI and ML approaches</li><li>Act as escalation authority for:</li><li>Complex technical issues</li><li>Architecture conflicts</li><li>Delivery risks</li><li>Ensure platforms meet:</li><li>Performance</li><li>Scalability</li><li>Security</li><li>Reliability</li><li>Compliance requirements</li></ul>5) Practice Building &amp; Team Leadership<ul><li>Build and scale Digifloat&rsquo;s Data &amp; AI practice.</li><li>Define:</li><li>Role structures</li><li>Skill matrices</li><li>Hiring standards</li><li>Career paths</li><li>Lead and mentor:</li><li>Data engineers</li><li>Analytics engineers</li><li>ML engineers</li><li>AI engineers</li><li>Architects</li><li>Establish internal enablement programs and technical standards.</li><li>Drive knowledge sharing and IP creation.</li></ul>6) Partnerships, Growth &amp; Market Expansion<ul><li>Build and maintain strategic relationships with:</li><li>Microsoft</li><li>Snowflake</li><li>Databricks</li><li>HCL Software</li><li>Other OEM and ISV partners</li><li>Leverage personal and professional networks to generate qualified leads.</li><li>Contribute to:</li><li>Partnership programs</li><li>Joint go-to-market initiatives</li><li>Co-selling opportunities</li><li>Support Digifloat&rsquo;s product and IP strategy:</li><li>Qube</li><li>GenBI</li><li>LawGPT</li><li>Industry accelerators</li></ul>Required Experience &amp; ProfileExperience<ul><li>10+ years of experience in:</li><li>Data engineering</li><li>Analytics</li><li>AI / ML</li><li>Enterprise architecture</li><li>Technical leadership</li><li>Prior experience in one or more of:</li><li>Head of Data</li><li>Chief Architect</li><li>Principal Consultant</li><li>Practice Head</li><li>Director of Data / AI</li><li>Proven track record leading:</li><li>Presales solutioning</li><li>Proposal defenses</li><li>Large enterprise delivery programs</li><li>Experience acting as a senior advisor to CXO-level stakeholders.</li></ul>Technical ExpertiseDeep hands-on and architectural experience across:Data Platforms<ul><li>Databricks</li><li>Snowflake</li><li>Azure Fabric</li><li>BigQuery</li><li>Redshift</li></ul>Cloud<ul><li>Azure, AWS, or GCP</li></ul>Data Architectures<ul><li>Lakehouse</li><li>Warehouse</li><li>Data Mesh</li><li>Streaming architectures</li></ul>AI / ML / GenAI<ul><li>RAG architectures</li><li>Agentic workflows</li><li>Copilot-style solutions</li><li>MLOps</li><li>Feature stores</li><li>Model lifecycle management</li></ul>Ecosystem &amp; Tooling Trade-offs<ul><li>Databricks vs Snowflake vs Fabric</li><li>Lakehouse vs Warehouse</li><li>Batch vs Streaming</li><li>RAG vs Fine-tuning</li><li>Open-source vs managed services</li></ul>Commercial &amp; Advisory Capability<ul><li>Strong commercial acumen and delivery estimation capability.</li><li>Experience structuring:</li><li>Phased implementations</li><li>Pilot &rarr; PoC &rarr; Production rollouts</li><li>Ability to balance:</li><li>Technical excellence</li><li>Commercial viability</li><li>Delivery risk</li></ul>Education &amp; CertificationsRequired<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.</li></ul>Preferred<ul><li>Master&rsquo;s degree (MBA, MS, or equivalent).</li><li>Cloud Architect / Data Engineer certifications.</li><li>AI / ML certifications.</li><li>CDMP or equivalent.</li></ul>Who Should ApplyThis role is ideal for someone who:<ul><li>Has deep technical authority across data and AI.</li><li>Enjoys client-facing advisory and executive engagement.</li><li>Has led both presales and delivery.</li><li>Can own architecture, proposals, and program governance.</li><li>Wants to build and scale a data and AI practice.</li><li>Brings strong professional networks and business development mindset.</li></ul>Why Join Digifloat<ul><li>Executive-level influence on company strategy and growth.</li><li>Ownership of enterprise-grade AI and data programs across multiple regions.</li><li>Opportunity to shape proprietary AI platforms and accelerators.</li><li>Exposure to large public-sector and enterprise transformation initiatives.</li><li>Strong growth trajectory and leadership visibility.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current monthly salary in PKR?</li><li>Expected monthly salary in PKR?</li></ul>Work Location: In person

Head of Data & AI

u-blox

<div><div>Location City<div> Lahore</div></div> 
<div>
Location Region</div> 
<div></div><div>
Location Country<div> Pakistan</div></div> 
<div>
Role also available in</div> 
<div></div><div>
About u-blox<div> u-blox (SIX:UBXN) is a global leader in automotive, industrial, and consumer markets, driving innovation through our cutting-edge positioning and short-range communication technologies. We are the pioneers behind high-precision technologies, providing smart and reliable solutions that enable people, vehicles, and machines to determine their precise position and communicate wirelessly. With headquarters in Thalwil, Switzerland, and offices across Europe, Asia, and the USA, we are making a global impact.</div></div> 
<div>
Job Description<div><div><div>
Role Profile: Microsoft Fabric Development Lead 
We are seeking a hands-on, reliable professional to lead and own our Microsoft Fabric data platform, ensuring performance, security, and alignment with our enterprise data strategy. This role requires proven experience across Fabric workloads, combining technical depth with a strong understanding of how business processes are represented in data to deliver trusted analytics, governed data products, and scalable data engineering solutions. 
 
You will partner with stakeholders to understand data needs, architect end-to-end solutions across the Fabric ecosystem, and drive adoption of data analytics through a customer centric approach, ensuring insights are interpreted in the correct business and data context, while shaping the platform&rsquo;s future direction.
Your Responsibilities 
Platform Ownership
<ul><li>Administer and maintain the Microsoft Fabric environment, capacities, and workloads (Lakehouse, Warehouse, Pipelines, Data Engineering, Power BI).</li><li>
Manage OneLake governance, shortcuts, security, and data lifecycle.</li><li>
Ensure platform stability, scalability, and alignment with enterprise data architecture principles.</li></ul>
Architecture &amp; Documentation
<ul><li>Own Fabric architecture documentation including workspace structure, pipelines, data products, semantic models, lineage, dependencies, and operational procedures.</li><li>
Establish and maintain medallion architecture design standards.</li></ul>
Collaboration &amp; Stakeholder Engagement
<ul><li>Act as the primary point of contact for all Fabric and Power BI usage.</li><li>
Partner with system owners, SMEs, and analysts to translate requirements into scalable Fabric based solutions.</li><li>
Develop a strong understanding of how the business operates and how this is represented in underlying data, enabling informed, contextual conversations with stakeholders and ensuring data is analysed and interpreted holistically rather than in isolation.</li></ul>
Data Engineering &amp; Analytics Development
<ul><li>Design, develop, and optimize Lakehouses, Warehouses, dataflows, and semantic models.</li><li>
Build high quality data pipelines using Data Factory, notebooks, SQL, Python, and Spark.</li><li>
Deliver intuitive, well governed Power BI reporting solutions layered on Fabric data products.</li></ul>
Enablement &amp; Adoption
<ul><li>Champion data literacy and self-service analytics across the organization.</li><li>
Run training, workshops, best practice sessions, and governance clinics focused on Fabric capabilities, specifically Power BI.</li></ul>
Monitoring, Operations &amp; Incident Management
<ul><li>Monitor capacity, usage, throttling, cost, and workload performance.</li><li>
Manage incidents, root cause analysis, and platform KPIs such as data product adoption, workspace maturity, and capacity consumption.</li></ul>
Strategic Roadmap &amp; Innovation
<ul><li>Maintain the Fabric platform roadmap and evaluate new features across all workloads.</li><li>
Recommend improvements, automations, scalability enhancements, and integration opportunities.</li></ul>
Governance &amp; Compliance
<ul><li>Define and enforce governance for Fabric and Power BI including:
<ul><li>Workspace design &amp; lifecycle</li><li>
Access &amp; permission models</li><li>
Dataset / semantic model certification</li><li>
Naming conventions &amp; metadata</li><li>
Data security (RLS/OLS), data masking, GDPR compliance</li><li>
DevOps/Git integration policies</li></ul>
</li><li>Lead harmonisation of analytics platforms, ensuring usability, reusability, and organisational consistency.</li></ul>
Your Skills and Experience 
Essential
<ul><li>Proven experience delivering solutions across Microsoft Fabric workloads (Lakehouse, Warehouse, Pipelines, Data Engineering, Power BI).</li><li>
Strong data engineering skills (SQL, Python, Spark, data modelling, Delta Lake).</li><li>
Strong understanding of Fabric capacity management, workspace architecture, and governance.</li><li>
Hands-on experience designing medallion architectures and reusable data products.</li><li>
Expertise in Power BI development, semantic models, and DAX.</li><li>
Experience with DevOps, Git integration, CI/CD for data and analytics.</li><li>
Solid understanding of Microsoft 365 governance, compliance, and security.</li><li>
Ability to translate business needs into end-to-end technical solutions.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Structured, independent, and reliable work approach.</li><li>
Fluent in English.</li></ul>
Nice to Have
<ul><li>Experience with Azure Data Services (Synapse, Data Factory, SQL).</li><li>
Microsoft certifications (Fabric, PL‑300, DP‑600, DP‑203).</li><li>
Familiarity with scripting (PowerShell, Python).</li><li>
Experience working in mid-sized or international organisations.</li><li>
Basic administration knowledge of other M365 tools (SharePoint, Teams).</li><li>
Basic administration knowledge of Atlassian tools (Jira/Confluence).</li></ul></div></div> 
</div></div> 
<div>
Applications Close Date<div> 28 Feb 2026</div></div> 
<div>
Contact<div> Are you interested in this challenging position within an international work environment in a successful company? Apply now! You will be working with a motivated team in an exciting technology.
 
 
We are looking forward to receiving your application.</div></div></div>

Microsoft Fabric Development Lead

Confiz

<div>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
Qualifications
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Engineer

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div> 
<div></div>

About the Role:

As a Sales Data Engineering Manager you will be part of the core data team building out world class sales data products that will drive Motive Sales. You will be working on the intersection of all data streams in the company and support our reps globally. You will partner closely with both the Sales, Product, &amp; Marketing teams. We are seeking strong team players who thrive on innovation and continuous improvement. We pride ourselves on our culture, and ability to work effectively across a highly diversified team. 

Responsibilities:

Build data roadmap for the sales data engineering team building both internal and external data products.

Drive innovation in our sales data products with the application of AI in both the processes we work on to the products we deliver.

Build teams to scale out our maturing set of analytics products.

Be deeply technical and continue to code and drive technical standards within the team.

Architect and design data models in collaboration with data and product teams.

Communicate effectively and drive strategy across multiple teams and projects. 

Qualifications:
<ul>
<li>Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics</li>
<li>Knowledge of Sales Cycles and B2B Sales</li>
<li>10+ years experience in Data Engineering, and 3+ years managing a team</li>
<li>Expertise with data engineering stack, dBt, Snowflake, airflow, data observability tools, AWS, pyspark.</li>
<li>Expertise in SQL and Python</li>
<li>Great planning and roadmapping skills</li>
<li>Excellent communication, collaboration, and people skills</li>
</ul><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Engineering Manager

OMODA JAECOO Central Services

Wasif Ali and Associates is a professional architectural and engineering firm specializing in innovative design, construction management, and integrated MEP and IT infrastructure solutions for commercial and institutional projects.Wasif Ali and Associates is seeking a highly experienced Senior Electrical &amp; ELV + IT Engineer to lead and supervise multidisciplinary engineering teams for IT company construction projects.The ideal candidate will oversee Electrical, ELV (Extra Low Voltage), Mechanical, and Plumbing teams, ensuring project execution aligns with technical standards, safety regulations, timelines, and client expectations.Key Responsibilities<ul><li>Lead and oversee all Electrical/Mechanical/Plumbing design related to IT and associated facilities</li><li>Review for Cost Estimation for MEP work</li><li>Review of requirement for electrical equipment/work.</li><li>Review and approval of layout, assembly and installation designs and diagrams prepared by contractors</li><li>Manage electrical and ELV system design, installation, testing and commissioning</li><li>Ensure compliance with local codes safety standards and quality requirements.</li><li>Provide leadership, mentorship and performance oversight of engineering staff.</li></ul>Eligibility Criteria<ul><li>Must be B.Tech or B.Sc.Elect Engineering Graduate</li><li>Minimum 5 years working experience in in supervision of High rise Building with all aspects, especially on IT/data driven construction projects</li><li>Knowledge of relevant codes, standards, and regulations</li><li>Proficiency in electrical design software and tools</li></ul>Working hours: Monday to Saturday, 9:00 AM &ndash; 6:00 PMJob Type: Full-timePay: Rs120,000.00 - Rs150,000.00 per monthWork Location: In person

Electrical and ELV IT Engineer

Ähdus Technology GmbH

<div>
 
 Full-Time Remote Role
 
 
 
 
 Company Name: Ahdus Technology
 
 
 
 Job Title: Cloud Inbound Marketing Specialist
 
 
 
 About The Role
 
 
 
 Ahdus Technology is seeking a
 
 Cloud Inbound Marketing Specialist
 
 to attract, engage, and convert highly technical audiences across the cloud and hosting ecosystem. This role is instrumental in shaping how developers, DevOps teams, and technology decision-makers discover, assess, and adopt our cloud services.
 
 
 You will own inbound growth initiatives across SEO, automation, content, and analyticsworking closely with product and engineering teams to translate complex cloud technologies into compelling, high-impact inbound programs.
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Plan, execute, and optimize inbound marketing initiatives across SEO, SEM, paid social, webinars, long-form content, and technical communities.
 </li>
 <li>
 Build audience-specific programs tailored to developers, DevOps engineers, IT leaders, and enterprise decision-makers.
 </li>
 <li>
 Design and execute Account-Based Marketing (ABM) campaigns for high-value enterprise accounts.
 </li>
 <li>
 Create and manage topic-driven content ecosystems around core cloud, infrastructure, and platform technologies.
 </li>
 <li>
 Collaborate with engineering and product teams to produce technically accurate yet accessible assets such as guides, whitepapers, case studies, webinars, and solution briefs.
 </li>
 <li>
 Leverage AI tools to improve content creation, optimization, personalization, and distribution efficiency.
 </li>
 <li>
 Own HubSpot Marketing Hub workflows, including segmentation, lead scoring models, lifecycle stages, and automated nurturing paths.
 </li>
 <li>
 Develop retargeting and re-engagement strategies for long-cycle B2B and enterprise buyers.
 </li>
 <li>
 Track and analyze performance across SEO, campaigns, and funnels using HubSpot, GA4, and Looker Studio.
 </li>
 <li>
 Continuously improve landing pages, forms, and signup flows using CRO techniques such as A/B testing, heatmaps, and funnel diagnostics.
 </li>
 <li>
 Create sales-enablement assets including battle cards, competitive comparisons, positioning briefs, and value propositions.
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Minimum 3+ years of B2B inbound marketing experience, preferably within cloud, SaaS, data centers, or enterprise IT.
 </li>
 <li>
 Proven track record executing SEO, SEM, content operations, marketing automation, and lead nurturing programs.
 </li>
 <li>
 Strong hands-on experience with HubSpot CRM and Marketing Hub, including automation, scoring, workflows, and reporting.
 </li>
 <li>
 Highly analytical mindset with experience in GA4, Looker Studio or Tableau, and conversion rate optimization methods.
 </li>
 <li>
 Solid understanding of cloud computing fundamentals such as IaaS, VPS, containers, Kubernetes, OpenStack, and hyperscalers (AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with developer ecosystems, technical communities, and the buying behavior of technical audiences.
 </li>
 <li>
 Experience with ABM tools such as Demandbase or 6sense, LinkedIn Ads, and CMS platforms including WordPress or headless CMS solutions.
 </li>
 <li>
 Strong communication skills with the ability to simplify complex technical concepts for diverse audiences.
 
 
 
 </li>
 </ul>
 Why Join Ahdus Technology?
 
 
 <ul>
 <li>
 100% remote, full-time role with flexibility and global exposure.
 </li>
 <li>
 Opportunity to market advanced cloud technologies to a technical, high-impact audience.
 </li>
 <li>
 Close collaboration with product and engineering teams.
 </li>
 <li>
 A data-driven, growth-focused culture that values experimentation and innovation.
 
 </li>
 </ul>
</div>

Inbound Growth Manager

Explore 433+ Data engineering lead in Lahore this February. Find roles across top companies and apply now to boost your career.