data architect

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 
 
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
 </li>
 <li>
 Maintain and develop data collection, storage, and transfer systems used by the project team
 </li>
 <li>
 Support the development of advanced data analytics products
 </li>
 <li>
 Define data architecture and select data collection, storage, and analysis technologies
 </li>
 <li>
 Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
 </li>
 <li>
 Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
 </li>
 <li>
 Lead business and technical metadata management activities
 </li>
 <li>
 Establish, monitor, and enforce business processes and standards for metadata management and compliance
 </li>
 <li>
 Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
 </li>
 <li>
 Define and maintain logical data models and information assets
 </li>
 <li>
 Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
 </li>
 <li>
 Approve changes to metadata and manage new metadata demand
 </li>
 <li>
 Approve business definitions and data lineage developed by domains
 </li>
 <li>
 Define metadata standards and ensure compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 
 
 Eligible to work in Egypt.
 
 
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 
 
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 
 
 Experience with data modeling, data architecture design, and schema development.
 
 
 Proficiency in ETL/ELT tools and processes.
 
 
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 Knowledge of big data technologies, including Hadoop or Spark.
 
 
 
 Experience
 
 
 
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 
 
 3+ years of experience in data platform implementation and data architecture.
 
 
 7+ years of experience in technical and IT roles.
 
 
 Proven experience designing and implementing data architectures.
 
 
 Experience working with data governance, data quality, and data security.
 
 
 Past experience involving data strategy, data integration, and data infrastructure development.
 
 
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 
 
 
 Soft Skills
 
 
 
 Strong analytical and problem-solving skills.
 
 
 Ability to communicate complex data concepts to non-technical stakeholders.
 
 
 Leadership and project management capabilities.
 
 
 Background in banking or financial services is preferred.
 
 
 Familiarity with metadata governance and data lineage is a plus.
 
 
 Familiarity with enterprise architecture tooling is a plus.
 
 
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>

Data Architect

CHOC Children's

<div>Work Location
Orange, California 
 
Work Shift
Day &ndash; 08hrs (United States of America)
Why CHOC?
At CHOC, we strive to be the leading destination of children&rsquo;s health by providing exceptional and innovative care. We are responsible for the overall health of our community&rsquo;s pediatric population in our hospitals, clinics, and practices. And because of our breadth of care, your career at CHOC can be as diverse and fulfilling as you determine. CHOC&rsquo;s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals. Apply now to see where your career at CHOC can take you.
Environmental Sustainability Statement
Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety.
Job Summary
The Data Architect will play a pivotal role in the evolution of CHOC&rsquo;s data architecture and system automation. This role will work to define and build a modern enterprise data architecture that supports the organization&rsquo;s business strategy. This role will architect, design and lead implementation of data models, data flows as well as API driven data services in alignment with Enterprise Architecture standards and guiding principles. This role will have deep, hands-on expertise in data architecture, design and implementation of Data Warehouse, Business Intelligence, MDM, Meta Data management and Web APIs/ Interfaces.
Pay Range
Minimum $121,347 Midpoint $160,826 Maximum $200,283
Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.
Experience
<ul><li>Required: Minimum five (5) years of experience in IT, with at least three (3) years in data modeling, ETL, API integration and data warehouse design and implementation.</li></ul>
<ul><li>Preferred: Eight (8) or more years of experience in IT, with at least five (5) years in data modeling, ETL, API integration and date warehouse design and implementation.</li></ul>
Education
<ul><li>Required: Bachelor's degree in Computer Science, Information Technology or related field or equivalent industry experience.</li></ul>
Training
<ul><li>Required: None required.</li></ul>
Specialized Skills
<ul><li>Required: Data architecture development, ETL, data extracts, data modeling, database design and management. Extensive data integration, warehousing and analytics solutions experience. Expert SQL (Microsoft SQL and/or Oracle) experience. Highly skilled data modeling in both operational transactional and data warehouse dimension design. Experience with data visualization tools such as QlikView. ETL, data transformation , and masking tools experience (Microsoft SSIS, Informatica, etc.). Extensive experience designing and developing RESTful APIs with broad knowledge of web standards to APIs (REST, JSON, SOAP, HTTP, OAuth, SSL, PGP, SAML, etc.). Experience in developing interfaces using middleware such as Oracle SOA, WSO2, MuleSoft, Tibco, Azure Data Factory. Understanding of Cloud-based architectures (AWS, Azure, etc.).</li></ul>
Licensure
<ul><li>Required: None required.</li></ul>
Work Environments - Functional Demand:
Sedentary - Very light energy level Lift 10 lbs. box overhead. Lift and carry 15 lbs. Push/pull 20 lbs. cart.
<h2 class="jobSectionHeader">Physical Activity Requirements:
</h2>Bending, Carry Objects, Climbing, Keyboard use/repetitive motion, Pinching/fine motor activities, Push/Pull, Reaching forward, Reaching overhead, Sitting, Squat/kneel/crawl (Squad &amp; Knee), Standing, Talk or hear, Taste or smell, Twisting, Walking, Wrist position deviation
Physical Activity Lifting
Lifting (Floor to waist level) - Occasional 0-35%, Lifting (Waist level and above) - Occasional 0-35%
Sensory Requirements:
Color Discrimination, Depth Perception, Far Vision, Hearing, Near Vision
Environment Requirements:
Airborn Communicable Disease, Bloodborne Pathogens, Chemical, Dust Particular Matter, Extreme Noise Levels, Extreme Temperatures, Radiation, Uneven Surfaces or Elevations
Non-Discrimination Statement:
CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws.
We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn&rsquo;t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities.
If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.</div>

Data Architect, ISD

E Logic

<div>E-logic is seeking a Business Intelligence Architect to support the Data Mart Program from Indian Health Service (IHS). In this role, you will apply high-level technical expertise in public health informatics, business intelligence tools (Qlik Sense, QlikView), and quantitative data methods to support large-scale surveillance, analytics, and enterprise reporting solutions.

Key Responsibilities
<ul>
<li>Architect, design, and optimize enterprise-level Business Intelligence solutions using Qlik Sense and QlikView.</li>
<li>Integrate data from heterogeneous health information systems and relational databases for agency-wide analytics and reporting.</li>
<li>Apply data mining, decision science, and information retrieval methods to public health datasets.</li>
<li>Collaborate with project managers, federal leads, and technical teams to align analytics tools with strategic agency objectives.</li>
</ul>
Qualifications &amp; Requirements
<ul>
<li>Proven expertise in Business Intelligence and Business Analytics tools, specifically Qlik Sense and QlikView.</li>
<li>Experience working with federal health systems, Medical/Public Health Informatics, or population health metrics.</li>
<li>Strong understanding of data modeling, ETL processes, and health database architectures.</li>
<li>Must be able to obtain pre-clearance and pass a federal background investigation (fingerprints &amp; credit check).</li>
</ul>
Important Notice:

This role is part of a proposal for the Data Mart Program from Indian Health Service (IHS). Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.</div>

Business Intelligence Architect

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Enterprise Architect (9&ndash;12+ Years Experience)</h1><h2 class="jobSectionHeader">
Job Title: Enterprise Architect</h2><h2 class="jobSectionHeader">
Experience: 9&ndash;12+ Years</h2><h2 class="jobSectionHeader">
Location: Riyadh, Saudi</h2><h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Enterprise Architect to define and drive the organization's enterprise architecture strategy, ensuring technology investments align with business objectives. The ideal candidate will establish enterprise architecture principles, standards, target-state architectures, strategic roadmaps, and governance mechanisms while collaborating with business and technology stakeholders to deliver scalable, secure, and future-ready solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and maintain enterprise architecture strategies aligned with business goals.</li><li>
Define enterprise architecture principles, standards, reference architectures, and governance processes.</li><li>
Design current-state and target-state architecture models and transformation roadmaps.</li><li>
Evaluate emerging technologies and recommend strategic technology investments.</li><li>
Collaborate with business leaders, solution architects, engineering teams, and project managers to ensure architectural alignment.</li><li>
Conduct architecture reviews and ensure compliance with enterprise standards and governance.</li><li>
Lead technology modernization, cloud adoption, and digital transformation initiatives.</li><li>
Perform architecture impact assessments and provide technical guidance across projects.</li><li>
Mentor solution architects and engineering teams on enterprise architecture best practices.</li></ul><h2 class="jobSectionHeader">
Must Have Skills</h2><ul><li>
Experience in Enterprise Architecture Principles AND Architecture Standards AND Target-State Architecture AND Technology Roadmaps AND Architecture Governance Mechanisms.</li><li>
Enterprise architecture frameworks: TOGAF OR Zachman Framework OR FEAF OR Gartner Enterprise Architecture.</li><li>
Architecture modeling: ArchiMate OR UML OR BPMN OR C4 Model.</li><li>
Cloud platforms: AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Architecture domains: Business Architecture AND Application Architecture AND Data Architecture AND Technology Architecture AND Security Architecture.</li><li>
Solution Evaluation AND Technology Strategy AND Architecture Review AND Governance.</li><li>
Strong understanding of Microservices AND API Architecture AND Event-Driven Architecture AND Integration Patterns.</li><li>
Experience with DevSecOps AND CI/CD AND Infrastructure as Code (IaC).</li><li>
Excellent stakeholder management, leadership, communication, strategic planning, and decision-making skills.</li></ul><h2 class="jobSectionHeader">
Good to Have Skills</h2><ul><li>
Enterprise architecture tools: Sparx Enterprise Architect OR LeanIX OR Bizzdesign OR Orbus Software OR MEGA HOPEX.</li><li>
Knowledge of Kubernetes OR Docker OR OpenShift.</li><li>
Experience with Service-Oriented Architecture (SOA) OR Domain-Driven Design (DDD).</li><li>
Familiarity with governance and service management frameworks: ITIL OR COBIT.</li><li>
Experience in digital transformation, cloud migration, application modernization, and enterprise integration initiatives.</li><li>
Knowledge of security and compliance frameworks such as ISO 27001 OR NIST OR CIS Controls.</li><li>
Relevant certifications: TOGAF OR AWS Certified Solutions Architect OR Microsoft Certified: Azure Solutions Architect Expert OR Google Professional Cloud Architect.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; Master's degree is a plus.</li><li>
9&ndash;12 years of experience in enterprise architecture, solution architecture, or technology strategy.</li><li>
Proven experience defining enterprise architecture standards and leading enterprise-wide transformation initiatives.</li><li>
Strong ability to align business strategy with technology strategy and influence executive stakeholders.</li><li>
Excellent analytical, communication, leadership, and mentoring skills.</li></ul>
HjrGEOHWNK</div>

Enterprise Architect

Nevka software solutions

We are seeking a highly experienced Principal Banking Solution Architect to lead the architecture and technical design of a modern digital banking and financial technology platform.The successful candidate will define the target architecture across personal banking, business banking, accounts, wallets, payments, cards, remittance, foreign exchange, treasury, ledger, reconciliation, compliance, data, and external financial-service integrations.This is a senior technical leadership role requiring deep knowledge of banking systems, financial transaction processing, distributed architectures, security, regulatory controls, and cloud-native engineering.You will work closely with senior management, product leaders, engineering teams, compliance specialists, finance teams, vendors, banking partners, and delivery managers to ensure that the platform is secure, scalable, resilient, financially accurate, and suitable for regulated operation.Key Responsibilities<ul><li>Define and maintain the end-to-end architecture for the digital banking platform.</li><li>Establish the target architecture, domain boundaries, integration patterns, data flows, and technology standards.</li><li>Lead architecture across personal banking, business banking, payments, wallets, cards, treasury, compliance, accounting, and reporting.</li><li>Translate business strategy, regulatory requirements, and product roadmaps into scalable technical solutions.</li><li>Create solution architecture documents, system context diagrams, component diagrams, sequence diagrams, data-flow diagrams, and deployment architectures.</li><li>Define bounded contexts and service ownership using domain-driven design principles.</li><li>Design cloud-native, event-driven, API-first, and microservice-based solutions.</li><li>Ensure clear separation between customer-facing applications, banking services, ledger systems, financial-crime controls, and operational platforms.</li><li>Review and approve technical designs for new modules, services, integrations, and major platform changes.</li><li>Establish architecture governance, technical design authority, and architecture-review processes.</li><li>Define reusable patterns for APIs, events, workflows, security, data access, observability, and error handling.</li><li>Ensure financial transactions are processed accurately, atomically, idempotently, and with complete auditability.</li><li>Define architectural controls for duplicate prevention, retries, reversals, refunds, corrections, and transaction recovery.</li><li>Design integration architecture for banks, payment schemes, card processors, KYC providers, AML vendors, FX providers, payout networks, and other third parties.</li><li>Define standards for REST APIs, webhooks, file exchange, event streaming, and financial messaging.</li><li>Lead the design of ISO 20022-based payment and reporting integrations.</li><li>Ensure the architecture supports multi-currency accounts, safeguarding, settlement, reconciliation, and financial reporting.</li><li>Design secure identity, authentication, authorisation, consent, and privileged-access models.</li><li>Define encryption, key management, certificate management, secrets management, and data-protection requirements.</li><li>Ensure that regulatory, security, operational-resilience, and audit requirements are built into the architecture.</li><li>Define non-functional requirements for availability, scalability, recoverability, latency, throughput, security, and data retention.</li><li>Guide cloud, Kubernetes, Kafka, database, API gateway, observability, and infrastructure decisions.</li><li>Support build-versus-buy evaluations and technical vendor selection.</li><li>Assess third-party platforms, banking providers, and technology vendors.</li><li>Identify architectural risks, technical debt, dependencies, and remediation priorities.</li><li>Support production-readiness assessments, disaster-recovery planning, and resilience testing.</li><li>Mentor solution architects, technical leads, senior engineers, and engineering managers.</li><li>Communicate architecture decisions clearly to technical and non-technical stakeholders.</li></ul>Required Experience<ul><li>Extensive experience in banking, FinTech, payments, financial services, or financial-software architecture.</li><li>Proven experience as a Principal Architect, Enterprise Architect, Solution Architect, Banking Architect, or similar senior technical leader.</li><li>Experience designing large-scale banking, payment, ledger, wallet, card, or financial-processing platforms.</li><li>Deep understanding of financial transaction lifecycles.</li><li>Strong knowledge of account balances, postings, settlement, reconciliation, safeguarding, and financial accounting.</li><li>Experience designing distributed, high-availability, and fault-tolerant systems.</li><li>Strong understanding of domain-driven design, bounded contexts, and service decomposition.</li><li>Experience with microservices, event-driven architecture, APIs, and cloud-native platforms.</li><li>Strong knowledge of Java or Kotlin and Spring Boot environments.</li><li>Experience with Kafka or another event-streaming platform.</li><li>Strong understanding of relational databases, transactional consistency, and data integrity.</li><li>Strong understanding of security architecture, identity, access management, encryption, and key management.</li><li>Experience defining non-functional requirements and architecture principles.</li><li>Strong experience producing architecture documentation and technical design standards.</li><li>Ability to lead architecture reviews and challenge unsuitable technical decisions.</li><li>Excellent stakeholder-management, communication, and presentation skills.</li><li>Ability to explain complex architectural decisions to business, compliance, and executive stakeholder</li><li>Experience designing secure APIs and partner integrations.</li><li>Understanding of synchronous and asynchronous communication patterns.</li><li>Experience with idempotency, distributed transactions, saga patterns, outbox patterns, retries, and duplicate prevention.</li><li>Strong understanding of security architecture, identity, access management, encryption, and key management.</li><li>Experience defining non-functional requirements and architecture principles.</li><li>Strong experience producing architecture documentation and technical design standards.</li></ul>Candidates should highlight experience in:<ul><li>Core banking or FinTech architecture</li><li>Payments and financial transaction processing</li><li>Ledger and accounting systems</li><li>Microservices and event-driven architecture</li><li>Banking integrations and ISO 20022</li><li>Cloud and security architecture</li><li>Reconciliation, safeguarding, and settlement</li><li>Regulatory or high-security environments</li><li>Architecture governance and technical leadership</li></ul>Application Question(s):<ul><li>How many years of total professional experience do you have in Digital Banking and Financial Technology (FinTech) platforms?</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Principal Banking Solution Architect

BillGO, Inc.

<div>Senior AI Data Analytics Engineer
BillGO is building the next generation of payments &mdash; an intelligent network that helps small businesses get paid faster, operate leaner, and grow with confidence. The Senior AI Data Analytics Engineer sets the technical direction for BillGO's data and AI architecture, turning payments data into reliable, scalable, and intelligent products the rest of the organization builds on. Reporting to the VP, Data Office, this role sits at the intersection of data engineering, analytics, AI/ML, and the business. It's an individual-contributor role with no direct reports &mdash; leadership is exercised through architecture, standards, and mentorship, not people management. Success is measured by the reliability, reuse, and trustworthiness of BillGO's data and AI products, not the volume of models or dashboards produced.<div>
</div>Why This Role Matters
BillGO's future runs on trustworthy data, and this role owns making sure it stays that way as the company scales. As the architect of the data models, semantic layers, and AI/RAG patterns that Product, Finance, Risk, and Operations all build on, this person turns scattered payments data into a single source of truth - while setting the validation standards that keep AI-generated insights accurate before they ever reach a decision-maker. It's an individual contributor role with outsized reach: get it right, and BillGO moves faster with more confidence - faster reconciliation, fewer fraud losses, and self-service, AI-powered insight in the hands of every team instead of just a few.
 What You&rsquo;ll Do
Data &amp; AI Architecture<ul><li>
Own the architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and financial reporting</li><li>
Architect solutions across Snowflake, AWS RDS, and AWS DynamoDB, integrating sources from AWS S3</li><li>
Lead the design of data dictionaries, semantic layers, and data catalogs that power both human and AI-driven analytics</li></ul>
Data Quality, Governance &amp; Standards<ul><li>
Set and evangelize engineering standards, patterns, and best practices, and drive their adoption across the organization</li><li>
Establish frameworks for data quality and integrity through testing, monitoring, and documentation</li><li>
Support regulatory and financial reporting needs &mdash; reconciliation, audit readiness &mdash; with accurate, well-governed data</li></ul>
Business Partnership &amp; Enablement<ul><li>
Partner with senior leaders across Product, Finance, Risk, and Operations to define key metrics and enable insights, dashboards, and predictive models</li><li>
Translate ambiguous business strategy into data and AI solutions that scale with company growth</li><li>
Put AI-powered, self-service insights in the hands of every team</li></ul>
Technical Leadership &amp; Mentorship<ul><li>
Set technical direction that improves visibility into payment performance and revenue drivers</li><li>
Mentor and coach engineers through design reviews, pairing, and code review</li><li>
Coach the team on using AI coding and analytics assistants to accelerate development and documentation</li><li>How You'll Use AI</li></ul>
This role treats AI as core infrastructure, not a side project. You'll apply generative AI and large language models (e.g., Claude) to accelerate data transformation, documentation, and metric definition, and to enable natural-language access to enterprise data. You'll architect retrieval-augmented generation (RAG) and semantic search over enterprise data so trusted datasets are easily discoverable and queryable by both humans and AI systems. You'll design, build, and operationalize AI/ML workflows &mdash; from feature engineering to LLM-powered pipelines &mdash; that turn analytics into predictions and automation. And because AI-generated insight is only as good as its validation, you'll establish the responsible AI practices &mdash; around bias, hallucination, and data privacy &mdash; that ensure AI outputs are checked before they influence a financial decision. You'll also coach the broader team on using AI coding and analytics assistants to work faster and document better.
 What You Bring<ul><li>
5+ years in analytics engineering, data analytics, or data engineering, including senior or lead responsibilities</li><li>
Expert SQL and data analytics skills, with proven ability to model complex datasets (fact/dimension modeling, star schemas) and design data architecture end to end</li><li>
Deep experience with data warehousing (Snowflake) and transformation frameworks like Coalesce, including establishing team conventions</li><li>
Experience building and owning metrics layers or semantic models used across multiple teams</li><li>
Strong command of ELT pipelines, data orchestration, and Python for data processing and automation</li><li>
Extensive hands-on experience applying generative AI and LLMs to real data and analytics problems in production</li><li>
Strong experience with RAG, embeddings, and vector databases, plus a solid ML and MLOps foundation</li><li>
A track record of technical leadership and mentorship, with a critical eye for data accuracy and AI-generated results</li><li>
Payments, fintech, financial services, or enterprise SaaS experience strongly preferred</li><li>
Skill at influencing and communicating with senior technical and non-technical stakeholders</li><li>
Nice to have: advanced data science/ML experience, LLM fine-tuning or benchmarking, agentic AI workflows, event-driven or streaming architectures, and hands-on knowledge of payments concepts like authorization/settlement, interchange, chargebacks, and reconciliation.</li></ul>
 Compensation<div>
</div>We offer a competitive executive compensation package, including:<ul><li>
Base salary ($132,800 - $196,500)</li><li>
Performance incentive</li><li>
Equity opportunities
</li><li>Comprehensive health, retirement, and lifestyle benefits</li></ul>
This role is about more than compensation, it&rsquo;s about the opportunity to transform how small businesses thrive in the digital economy.</div>

Senior AI Data Analytics Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

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