big data analytics lead

JPMorganChase

<div>JOB DESCRIPTION<div><div> 
Join Consumer Bank Marketing Analytics to transform data into insight and improve how customers discover, open, and use our products. As a Data Scientist Lead, you will lead cross-line of business analytics efforts that streamline referrals and modernize marketing offer discovery. You will partner across Product, Technology, Marketing, Customer Experience, and Risk/Compliance to shape strategy and drive business results. You will use advanced analytics and AI-enabled tooling to accelerate delivery, improve consistency, and raise the bar on measurement and decisioning.
Job summary
As a Data Scientist Lead in Consumer Bank Marketing Analytics, you will own the analytics strategy for marketing offer transformation initiatives that improve offer discovery, fulfillment, and referral experiences for customers and bankers. In a cross-functional quad, you will define success metrics and guardrails, size and evaluate experiments, and deliver dashboards and reporting that enable consistent, reliable decision-making. You will translate complex analyses into clear, decision-ready recommendations for senior stakeholders and align partners on the highest-impact work. You will maintain a rigorous controls environment and strong data quality practices while collaborating closely with Risk/Compliance. You will mentor junior data scientists and help build shared measurement standards across journeys and channels.
Job responsibilities
<ul><li>Lead the analytics strategy, planning, and execution for marketing offer transformation by turning business problems into hypotheses, measurement plans, and decision-ready insights.</li><li>
Shape the offer transformation roadmap by identifying capability gaps (data, platform, process, and experience), quantifying customer impact and business value, and aligning the quad on highest-impact workstreams.</li><li>
Provide actionable analytics for referral capability enhancements and offer journey optimization, measuring impact on acquisition, activation, engagement, fulfillment, and quality outcomes.</li><li>
Lead experimentation and test design by sourcing data, defining success and guardrail metrics, sizing A/B tests, analyzing results, and communicating recommendations to the quad and senior leadership.</li><li>
Define and govern a cross-line of business measurement framework by establishing KPIs, standardizing metric definitions, and aligning success metrics and guardrails across channels and journeys.</li><li>
Build and continuously improve dashboards and reporting to enable reliable decision-making, improving usability, timeliness, data quality controls, and self-service consumption.</li><li>
Drive advanced analytics to identify journey friction, improve offer fulfillment, and increase customer engagement across digital and banker-assisted experiences.</li><li>
Apply AI tools and automation to streamline analysis workflows, reduce cycle time, and accelerate insight delivery with consistent quality.</li><li>
Provide leadership and mentorship to junior data scientists as a subject matter expert for offer fulfillment experiences and measurement practices.</li><li>
Maintain a rigorous controls environment to ensure accurate, timely, and well-governed analyses, including documentation, data validation, and appropriate Risk/Compliance partnership.</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, MIS, or a related field.</li><li>
5+ years of experience in analytics/data science supporting customer journeys, digital products, or operational workflows.</li><li>
5+ years of hands-on experience with SQL and Python.</li><li>
5+ years of experience with Adobe Analytics, Tableau, and Alteryx (or comparable tools).</li><li>
Proven experience defining KPIs and building measurement frameworks, including guardrails and data quality checks.</li><li>
Demonstrated experience sizing and evaluating A/B experiments and communicating results to business and technical audiences.</li><li>
Strong dashboarding/BI skills, including metric governance, performance optimization, and executive-ready reporting.</li><li>
Strong slide-writing and storytelling skills to deliver clear narratives and recommendations.</li><li>
Excellent communication, influence, and stakeholder management skills, with ability to lead through ambiguity and drive outcomes.</li><li>
Strong communication skills to translate complex analyses into clear narratives for executive, business, and technical audiences.</li><li>
Proven ability to take initiative, influence others, and achieve results.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Experience in financial services and/or other regulated environments.</li><li>
Demonstrated experience using AI coding tools (for example, GitHub Copilot, Claude Code, Cortex) to improve productivity and accelerate insights.</li><li>
Intellectually curious and eager to become a subject matter expert in your focus area.</li><li>
Creative problem solver with strong analytical rigor.</li><li>
Strong communicator who can build relationships with key stakeholders.</li></ul></div></div><div>
Generated with LLM Suite General</div>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Data Scientist Lead - Consumer Bank Marketing Analytics - VP

Carglass

<div>Carglass er en international virksomhed og Danmarks f&oslash;rende specialist i reparation og udskiftning af bilruder. Vi br&aelig;nder for god service og har et team af fantastiske medarbejdere, som er effektive, yder god r&aring;dgivning og har et godt f&aelig;llesskab p&aring; tv&aelig;rs af virksomhedens forskellige afdelinger .
Job Title: Data Lead, Nordics
 
Location: Copenhagen, Stockholm, Oslo, Turku
 
Reports to: CIO, Nordics
About the Role - Make data the way we make decisions
 
Carglass is unifying four country solutions into one modern, global data platform. We&rsquo;re looking for a Nordic Data Lead who can both build (data engineering at heart) and lead (be the evangelist who lifts our data maturity). You&rsquo;ll architect the next-gen data stack, deliver tangible analytics value, and partner with senior leaders to embed data driven insights in everyday decisions.
Key Responsibilities - what you&rsquo;ll do
Own the Nordic data platform journey:
<ul><li>Lead the migration of four existing Nordic solutions into a single, enterprise-grade data platform on our global architecture.
</li><li>Design and implement scalable data models and warehouses, orchestrate robust ETL/ELT pipelines, and set the golden path for reuse.
</li><li>Define and drive data quality rules, lineage, and documentation; champion governance aligned to global standards.
</li></ul>Ship analytics that change outcomes:
<ul><li>Deliver high-value data models, semantic layers, and dashboards; set standards for versioning, testing, and release management.
</li><li>Partner across the organisation to convert questions into trustworthy metrics and actionable KPIs.
</li></ul>Be the data evangelist:
<ul><li>Coach analysts and business users; run enablement on data literacy and Power BI best practices.
</li><li>Promote a &ldquo;metrics over opinions&rdquo; culture and a consistent business glossary across the Nordics.
</li></ul>Collaborate across the group:
<ul><li>Work hand-in-hand with other Carglass companies outside the Nordics and our parent company to reuse patterns, align to global policies, and accelerate delivery with shared assets.
</li><li>Engage senior stakeholders; turn strategy into a delivery roadmap with clear value milestones.
</li></ul>What We&rsquo;re Looking For - What you&rsquo;ll bring
<ul><li>Data engineering depth (you&rsquo;ve built production-grade data platforms) before using your strong skills in SQL, data modelling, ETL/ELT patterns, orchestration, CI/CD for data, testing, observability, and cost/performance tuning.
</li><li>Experience with our global tech-stack: Snowflake, Snowflake OpenFlow, dbt, AWS SDLF, Erwin, PowerBI.
</li><li>Analytics: delivered enterprise Power BI datasets, reports, DAX, row-level security, telemetry, and governance at scale.
</li><li>Data governance mindset: catalogue/lineage, definitions, quality SLAs, and pragmatic controls with business ownership.
</li><li>Stakeholder leadership: confident with SLT and country GMs, able to translate business goals into data roadmaps and releases.
</li><li>Culture carrier: clear communicator, coach, and change agent&mdash;comfortable influencing without authority.
</li><li>Nice-to-haves: experience with cross-country migrations, ML/AI exposure, and experience working with multinational teams.
</li><li>Experience managing vendors or delivery partners in multi-stakeholder environments.
</li><li>Regular travel across the Nordics, with occasional travel to other European countries.
</li><li>Fluency in English and at least one Nordic language is required.
</li></ul>Why Join Us?
You&rsquo;ll shape the Nordic data platform end‑to‑end &mdash; from architecture and roadmap to ways of working &mdash; and play a pivotal role in one of the most impactful transformation programs in our region. You&rsquo;ll work within a supportive global data community while retaining autonomy to deliver tangible impact locally.
If you thrive on building meaningful platforms, delivering real business value, and creating lasting change across multiple countries and business domains, we&rsquo;d love to hear from you.
-
Carglass&reg; Danmark er en del af den internationale koncern Belron&reg;, som er f&oslash;rende eksperter inden for reparation og udskiftning af bilruder. Belron&reg; opererer i 40 lande og har p&aring; verdensplan mere end 30.000 medarbejdere. Vi betjener 127.000 kunder hver uge verden over og skifter &aring;rligt 9,3 millioner ruder. I gennemsnit reparerer vi 8.500 stenslag hver dag, og vi udf&oslash;rer et job hvert tredje sekund d&oslash;gnet rundt.
Belron&reg; og Carglass&reg; topledelse har et klart formuleret form&aring;l for deres koncern: &quot; Making a memorable difference with care ,&quot; hvilket understreger, at der altid findes et oprigtigt &oslash;nske og et kontinuerligt fokus p&aring; at hj&aelig;lpe deres kunder p&aring; bedst mulig vis. At v&aelig;re en del af Carglass er derfor ogs&aring; at give tilbage til samfundet &ndash; lokalt og globalt. Vi &oslash;nsker at udvikle os, s&aring; vi bidrager til en gr&oslash;nnere verden, og vi h&aring;ber at du vil v&aelig;re med.</div>

Data Lead, Nordics

MidAmerican Energy

The Analytics &amp; BI Lead provides advanced technical expertise and guidance in the architecture, design, programming, testing, documentation and implementation of business intelligence systems. Responsible for the complex and efficient ETL maps, highly intuitive data models, reports and dash boards, migrations into different environments, maintenance and monitoring of the Oracle Business intelligence reporting. Evaluates software packages, provides recommendations to management and business clients, and identifies best technology solutions. Identifies future needs for key technologies and techniques and develops plans for adoption. This is considered a leadership position within the application development organization.
 Act as the technical lead for highly complex projects related to the development of new business analytical solutions, testing and implementing business intelligence reporting systems, data mapping components, source system data, ETL strategy, data staging, moving and aggregation, information and analytics delivery, and data quality strategy. (30%)
Provide technical leadership to staff; may direct work of Oracle Business Intelligence developers and various analysts in the completion of assigned projects. Plan, schedule and assign work based on established priorities. (15%)
Oversee software development and ensure conformance to performance optimization and interoperability standards and requirements. Ensure adherence to secure development lifecycle practices and policies. (10%)
Perform project planning, system analysis, software design and coding, testing, documentation, implementation and research activities as necessary for software engineering projects. (20%)
Act as the subject matter expert, and consult with clients on MEC's IT strategy and business requirements. (5%)
Collaborate with IT teams from applications and infrastructure to identify technology deficiencies and improvement opportunities in practices and procedures. (5-10%)
Coach and mentor other team members in technical matters, software development practices, project management techniques and security implementations. (5%)
Perform any additional responsibilities as requested or assigned. (5%)
 Bachelor's degree in management information systems (MIS), computer science, or related technical field, or equivalent work experience. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)
A minimum of six years of experience in business intelligence software application design, development, integration and/or installation.
Advanced knowledge of programming, integration and application security models, and proficiency with a variety of software development tools.
Experience in the industry, or in an environment whose scope, size and complexity are comparable.
Expert knowledge of Oracle's data relationship management and Oracle Essbase technologies, Oracle Business intelligence server enterprise edition, Oracle business intelligence Application interfaces, and Oracle Business intelligence foundation suite of tools.
Expert knowledge of data modeling and code design impacts for data loading and reporting performance.
Expert knowledge and strong programming in SQL, PL/SQL, stored procedures and packages, Oracle and Microsoft database, and business intelligence technologies.
Effective project management skills and ability to prioritize and handle multiple tasks and projects concurrently.
Business analysis aptitude including communications and interpersonal skills enabling an understanding of client's needs.
Knowledge of information technology terms, equipment, systems, functions and major vendors.
Experience integrating large disconnected enterprise-class systems in a robust, fault-tolerant manner consistent with industry standards.
Able to work in a zero-code-ownership environment where the team members can modify any source file at any time.
An expert understanding of deployment topologies (i.e. ensuring secure, highly available systems).
Effective oral and written communication skills. Effective analytical, problem-solving and decision-making skills. Availability for periodic on-call responsibilities.
Preferences Experience integrating Commercial off the Shelf (COTS) solutions within an environment with strong change and release management processes and procedures.
Technical knowledge of Oracle OBIEE 11g and Oracle Warehouse builder technologies, stored procedures and packages.
Technical knowledge with hands-on experience in Oracle database development, ETL, SQL, and PL/SQL.
Technical knowledge with hands-on experience in Oracle business intelligence foundation suite of tools, Oracle publisher, Essbase, Informatica, Data relationship management, ODI, Financial data management, Hyperion financial management.
Understanding of company's existing IT environment and of applicable company policies, practices, and procedures.
 <div>MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.</div>
 MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Analytics & BI Lead

Nawaya Digital Transformation Partners

Job Title: Chief Data &amp; Analytics Officer (CDAO)Nawaya Digital Transformation Partners is seeking a Chief Data &amp; Analytics Officer (CDAO) to lead enterprise-wide data strategy, advanced analytics, and AI-driven transformation initiatives.This executive role is designed for a senior leader who can shape data vision, build scalable analytics ecosystems, and drive measurable business value through data intelligence and innovation.The role offers the opportunity to work at the intersection of data, AI, cloud, and enterprise transformation across regional and international clients.Why This Role Is Attractive<ul><li>Executive leadership role with high strategic impact</li><li>Opportunity to design and lead enterprise data and AI strategy</li><li>Exposure to large-scale digital transformation programs</li><li>Work with modern cloud, AI, and analytics technologies</li><li>Competitive executive compensation package</li><li>Strong career growth and regional leadership exposure</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data and analytics strategy</li><li>Lead AI, machine learning, and advanced analytics initiatives</li><li>Establish data governance, compliance, and quality frameworks</li><li>Drive organization-wide adoption of data-driven decision-making</li><li>Oversee enterprise BI platforms and cloud data architecture</li><li>Collaborate with executive leadership on digital transformation initiatives</li><li>Build and lead high-performing data and analytics teams</li><li>Identify opportunities to monetize enterprise data assets</li><li>Ensure scalability, security, and reliability of data systems</li></ul>Key Requirements<ul><li>12+ years of experience in data, analytics, or digital leadership roles</li><li>Experience in enterprise data strategy or senior data leadership roles</li><li>Strong background in AI, machine learning, and big data technologies</li><li>Expertise in cloud platforms (AWS, Azure, or Google Cloud)</li><li>Strong understanding of data governance and enterprise architecture</li><li>Proven experience leading cross-functional teams</li><li>Master&rsquo;s degree in Data Science, Computer Science, Engineering, or related field preferred</li></ul>About the CompanyNawaya Digital Transformation Partners is a consulting and technology advisory firm focused on enterprise digital transformation, AI adoption, cloud modernization, and advanced analytics strategy across the GCC region.The organization works with enterprise and government clients to convert data into strategic insights and scalable digital capabilities.How to ApplyInterested candidates are invited to submit their CV for consideration. Shortlisted applicants will be contacted for further discussion.Pay: QAR55,000.00 - QAR90,000.00 per monthWork Location: In person

Chief Data & Analytics Officer

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

H2o Labs

Senior / Lead / Data Engineer &ndash; Comprehensive Job DescriptionAbout the RoleWe are seeking a highly skilled and experienced Senior/Lead/Staff Data Engineer todesign, build, and maintain scalable, reliable, and high-performance data systems. Thisrole requires deep technical expertise, strong ownership of data platforms, and the abilityto lead cross-functional initiatives that power analytics, machine learning, businessintelligence, and mission-critical applications.You will play a key role in shaping data architecture, ensuring data quality and governance,and enabling teams across the organization to make data-driven decisions withconfidence.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models, including:</li></ul>o Star schema (fact and dimension tables)o Conceptual, logical, and physical data models<ul><li>Develop enterprise data warehouse solutions ensuring:</li></ul>o Flexibility, scalability, and performance optimization<ul><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines:</li></ul>o Data ingestion &rarr; staging &rarr; transformation &rarr; serving layers<ul><li>Develop robust ETL/ELT processes using modern tools and frameworks</li><li>Implement:</li></ul>o Typed staging layerso Data validation pipelineso Safe backfill and replay mechanisms<ul><li>Optimize SQL queries, indexing strategies, and database performanceData Platform Reliability &amp; Observability</li><li>Own data pipeline reliability and integrity</li><li>Build observability systems, including:</li></ul>o Monitoring dashboardso Alerting frameworks (actionable, low-noise)o Data freshness tracking<ul><li>Implement:</li></ul>o Schema contracts and enforcemento Data quality checks and validation ruleso Failure detection in CI pipelines (not post-deployment)<ul><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks:</li></ul>o Standards, policies, and best practices<ul><li>Enforce:</li></ul>o Data integrityo Data lineage and traceabilityo Access controls and compliance<ul><li>Separate and maintain clear boundaries between:</li></ul>o Core governed datasetso Downstream analytics/BI layersCloud &amp; Big Data Integration<ul><li>Integrate systems with:</li></ul>o Data lakes and large-scale data platforms<ul><li>Work with modern cloud ecosystems (AWS preferred):</li></ul>oo Data warehouse platforms (e.g., Redshift, Snowflake)<ul><li>Design cost-efficient and scalable data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Design and deliver data products used by:</li></ul>o Analystso Data scientistso Product teams<ul><li>Build reusable frameworks for:</li></ul>o Data transformationo Orchestrationo Feature engineering (ML readiness)<ul><li>Support advanced analytics and reporting use cases</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate:</li></ul>o Testingo Deploymento Validation<ul><li>Use version control systems (Git/GitHub)</li><li>Ensure:</li></ul>o High availabilityo Backup and recovery strategiesProgramming &amp; Tooling<ul><li>Develop solutions using:</li></ul>oo Python (automation, validation, tooling)<ul><li>Work with tools such as:</li></ul>o dbt (deep experience required)o DBeaver, Visual Studioo Orchestration tools (e.g., Dagster or similar)Leadership &amp; Collaboration<ul><li>Lead cross-functional technical initiatives</li><li>Mentor and guide junior to mid-level data engineers</li><li>Conduct:</li></ul>o Code reviewso Architecture discussionso Knowledge sharing sessions<ul><li>Collaborate with:</li></ul>o Engineering teamso Product managerso Business stakeholders<ul><li>Translate business requirements into scalable data solutions</li></ul>Strategic Impact<ul><li>Drive platform evolution and innovation</li><li>Identify opportunities for:</li></ul>o Performance improvementso Cost optimization (FinOps mindset)o Automation and scalability<ul><li>Influence organizational data strategy and roadmapRequired Qualifications</li><li>Bachelor&rsquo;s degree in computer science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in data engineering or analytics engineering</li><li>Strong expertise in:</li></ul>o Data modeling (star schema, dimensional modeling)o SQL and performance tuningo ETL/ELT pipeline development<ul><li>Hands-on experience with:</li></ul>o Data warehousing and data lakeso Big data integrations<ul><li>Experience with:</li></ul>o Cloud platforms (AWS preferred)o Data quality, validation, and governance frameworks<ul><li>Strong understanding of:</li></ul>o System designo Scalable architecture<ul><li>Excellent communication and stakeholder management skills</li><li>Ability to work in agile, fast-paced environments</li><li>Eligibility to obtain security clearance (if required)</li></ul>Preferred Qualifications<ul><li>Experience with:</li></ul>o AWS services (Glue, Lambda, etc.)o Snowflake, Redshifto dbt (production-level deployments)<ul><li>Knowledge of:</li></ul>o Machine learning data pipelineso Certifications:o SQL Server, CDMP, MCSA, or similar<ul><li>Experience in:</li></ul>o Healthcare, defense, or regulated industries<ul><li>Familiarity with:</li></ul>o CI/CD for data systemso Data governance and FinOps practicesWhat Makes a Strong Candidate<ul><li>Thinks of systems, not just pipelines</li><li>Focuses on root-cause solutions, not temporary fixes</li><li>Balances:</li></ul>o Business valueo Scalabilityo Maintainability<ul><li>Strong ownership mindset with ability to lead initiatives end-to-end</li><li>Passion for building resilient, high-quality data platforms</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

Lead Data Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description (JD)</h1><h3 class="jobSectionHeader">
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</h3>
Location: Onsite - Riyadh 
Must Have: Experience over CVM implementation for Telco 
Experience: 8&ndash;12+ Years 
Industry Preference: Telecommunications<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead end-to-end data architecture design for enterprise data platforms and analytics solutions</li><li>
Design and implement scalable data warehouses, data lakes, and ETL pipelines</li><li>
Drive data modeling (logical &amp; physical) and semantic layer design</li><li>
Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps</li><li>
Ensure data quality, governance, and compliance across data assets</li><li>
Build and optimize high-performance data pipelines and reporting systems</li><li>
Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into technical solutions</li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive automation in reporting and data operations</li><li>
Manage performance tuning and optimization of databases and queries</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
Strong expertise in:<ul><li>
Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)</li><li>
ETL/ELT design and development</li><li>
SQL, Python, Shell Scripting</li></ul></li><li>
Hands-on experience with:<ul><li>
Data modeling tools (Erwin or equivalent)</li><li>
Data warehouse architecture</li><li>
Semantic layer design</li></ul></li><li>
Database experience:<ul><li>
Teradata, Oracle, MySQL, PostgreSQL</li></ul></li><li>
BI &amp; Reporting:<ul><li>
Tableau, MicroStrategy, QlikView</li></ul></li><li>
Familiarity with:<ul><li>
GitHub, C#, DataOps frameworks</li></ul></li></ul><h3 class="jobSectionHeader">
Functional Skills</h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Soft Skills</h2><ul><li>
Proven experience leading large-scale data programs</li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage cross-functional and distributed teams</li><li>
Experience in project delivery and technical governance</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s degree in Information Technology / Computer Science / Engineering or related field</li></ul><h2 class="jobSectionHeader">
Preferred Experience</h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in large transformation programs (e.g., system revamps, migrations)</li><li>
Exposure to product ownership or project management roles</li></ul>
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Tech Lead – Data Engineering & Analytics

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