data warehouse architect

BlizzUp Technologies

<div>
 *Apply for Data related open positions at Punjab IT Board (Lahore) using below links*
 
 
 
 *Data Architect*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-architect
 
 
 *Data Modeler*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-modeler-2
 
 
 *Senior Data Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/senior-data-engineer-10
 
 
 *Data Scientist*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-scientist-14
 
 
 *DevOps Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/dev-ops-engineer-18
 
 
 
 *Deadline: 02-Nov-2025*
</div>

Data Warehouse Architect

Source-Right

<div>
 
 Position: Architect &ndash; Data Modelling (CT1014FI RM 3627)
 
 
 
 
 Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 
 
 Hybrid work mode in all the locations. It&rsquo;s based on the policy in that location (Could be 2 days WFO, 3 days WFH and vice versa)
 
 
 
 
 What your typical day would look like?
 
 
 
 As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modelling Architect as demanded by each project to define, design, and deliver actionable insights.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Engage the clients &amp; understand the business requirements to translate those into data models.
 </li>
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 Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.
 </li>
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 Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.
 </li>
 <li>
 Use the Data Modelling tool to create appropriate data models
 </li>
 <li>
 Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
 </li>
 <li>
 Gather and publish Data Dictionaries.
 </li>
 <li>
 Ideate, design, and guide the teams in building automations and accelerators
 </li>
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 Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.
 </li>
 <li>
 Contribute to building data warehouse &amp; data marts (on Cloud) while performing data profiling and quality analysis.
 </li>
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 Use version control to maintain versions of data models.
 </li>
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 Collaborate with Data Engineers to design and develop data extraction and integration code modules.
 </li>
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 Partner with the data engineers &amp; testing practitioners to strategize ingestion logic, consumption patterns &amp; testing.
 </li>
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 Ideate to design &amp; develop the next-gen data platform by collaborating with cross-functional stakeholders.
 </li>
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 Work with the client to define, establish and implement the right modelling approach as per the requirement
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 Help define the standards and best practices
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 Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.
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 Coach team members, and review code artifacts.
 </li>
 <li>
 Contribute to proposals and RFPs
 
 
 </li>
 </ul>
 
 What do we expect?
 
 
 
 <ul>
 <li>
 10+ years of experience in Data space.
 </li>
 <li>
 Decent SQL knowledge
 </li>
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 Able to suggest modeling approaches for a given problem.
 </li>
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 Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)
 </li>
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 Real-time experience working in OLAP &amp; OLTP database models (Dimensional models).
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 Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.
 </li>
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 Eye to analyze data &amp; comfortable with following agile methodology.
 </li>
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 Adept understanding of any of the cloud services is preferred (Azure, AWS &amp; GCP)
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 Enthuse to coach team members &amp; collaborate with various stakeholders across the organization and take complete ownership of deliverables.
 </li>
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 Experience in contributing to proposals and RFPs
 </li>
 <li>
 Good experience in stakeholder management
 </li>
 <li>
 Decent communication and experience in leading the team
 </li>
 </ul>
 <li>
 </li>
</div>

Architect – Data Modelling (CT1014FI RM 3627)

Acenet consulting

<div><div>Experience: 7 to 13 years
 
Location: Abu Dhabi
 
Job code: 101347
 
Posted on: Oct 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.
<div>Key Responsibilities: 
<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy.</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Senior Data Architect (Enterprise Modernization & Analytics)

Sitech

<div>
 
 Location:
 
 Onsite in Muscat, Oman (candidates open to relocation or frequent travel are welcome to apply)
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Data Architect
 
 to design and implement scalable, high-performance data solutions. The role involves leading data architecture initiatives, overseeing system migrations to Oracle Cloud Infrastructure (OCI), and ensuring optimal data integration, governance, and quality across environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with stakeholders to understand and define data requirements.
 </li>
 <li>
 Lead a technical team in planning and implementing cohesive data architecture solutions.
 </li>
 <li>
 Manage the migration of existing systems and applications to Oracle Cloud Infrastructure (OCI).
 </li>
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 Integrate OCI services with on-premises or multi-cloud environments.
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 Analyze and translate business and data requirements into technical specifications.
 </li>
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 Monitor and troubleshoot data integration workflows and resolve issues efficiently.
 </li>
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 Optimize ETL processes for high performance, scalability, and data integrity.
 </li>
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 Document ETL workflows and maintain comprehensive data transformation records.
 </li>
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 Conduct code reviews and provide technical guidance to ensure quality standards.
 </li>
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 Advise project teams on data technology usage, tools, and best practices.
 </li>
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 Mentor team members and foster a collaborative technical culture.
 </li>
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 Develop and maintain reusable data architecture patterns, frameworks, and tools.
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 Oversee critical steps in the software development life cycle.
 </li>
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 Ensure end-to-end integrity and alignment of technical data solutions with architectural standards.
 </li>
 <li>
 Contribute to agile development practices in distributed team environments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of relevant professional experience in data architecture or related fields.
 </li>
 <li>
 Strong hands-on experience with Oracle Cloud Infrastructure (OCI).
 </li>
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 Proven experience using Oracle Data Integrator (ODI).
 </li>
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 Solid understanding of ETL concepts and data integration best practices.
 </li>
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 Experience in OLAP, OLTP, Data Warehouse, Data Lakehouse, and Data Mart design.
 </li>
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 Strong skills in SQL and relational database development.
 </li>
 <li>
 Excellent problem-solving and analytical abilities.
 </li>
 <li>
 Knowledge of Data Governance principles (Data Catalog, Data Lineage).
 </li>
 <li>
 Experience in high-volume data environments and performance tuning in ODI.
 </li>
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 Strong written and verbal communication skills in English.
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 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related field.
 </li>
 </ul>
</div>

Data Architect

Redlinux

Freelancing OpportunityJob Title: ETL Engineer/MLExperience: 7+ YearsJob OverviewWe are seeking a highly skilled Machine Learning / ETL Engineer to join our Business Intelligence IT team. The ideal candidate will design, develop, and optimize large-scale ETL/ELT pipelines, integrate diverse data sources, and apply Machine Learning frameworks for data quality and anomaly detection. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver scalable, reliable, and actionable data-driven solutions.This is a critical role in ensuring data integrity, scalability, and performance of our enterprise data platforms across cloud environments such as Snowflake, AWS, and GCP.Key Responsibilities<ul><li>Design, architect, and implement robust, high-performance ETL/ELT pipelines for large-scale data processing.</li><li>Collect and integrate data from multiple sources (databases, APIs, web services) into data lakes or warehouses.</li><li>Develop and maintain scalable data processing solutions using Snowflake, AWS, and GCP platforms.</li><li>Implement data quality, anomaly detection, and monitoring systems using Machine Learning frameworks.</li><li>Optimize query performance and manage large-scale data models, schemas, and metadata.</li><li>Support data governance through documentation, access control, lineage tracking, and retention policies.</li><li>Collaborate with cross-functional teams (data scientists, analysts, engineers, and business units) to translate requirements into actionable technical solutions.</li><li>Participate in CI/CD and automation initiatives to streamline data workflows and improve efficiency.</li><li>Ensure data accuracy, reliability, and availability for analytical and reporting purposes.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>7+ years of experience in data warehouse architecture, ETL/ELT pipelines, and data engineering.</li><li>5+ years of experience in data modeling and writing advanced SQL queries across Snowflake, Oracle, and Columnar Databases.</li><li>Strong knowledge of data modeling, schema design, and data lakes.</li><li>Experience with AWS services such as S3, Lambda, and Data Pipeline.</li><li>Hands-on experience with Machine Learning algorithms for data quality and anomaly detection.</li></ul>Technical Skills<ul><li>Programming: Python, SQL</li><li>ETL Tools: Databricks, IBM DataStage (preferred)</li><li>Cloud Platforms: Snowflake, AWS, GCP, BigQuery</li><li>Data Processing Frameworks: Apache Spark (or equivalent big data tools)</li><li>Workflow Orchestration: Apache Airflow, AWS MWAA</li><li>DevOps Tools: CI/CD pipelines, automation frameworks</li><li>Data Architecture: Data lakes, warehouses, multi-cluster architecture, shareable data features</li><li>Bonus: Familiarity with Databricks, DataStage, and advanced Snowflake capabilities</li></ul>Job Types: Part-time, Freelance Contract length: 12 monthsPay: &#8377;30,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>total work: 6 years (Required)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li><li>Overnight Shift (Required)</li></ul>Work Location: Remote

ETL Engineer

Reflections Info Systems

<div><div><div>Introduction</div><div><div>
We are looking for 10+Years experienced candidates for this role.</div></div>
Job Description<div><div>
A minimum of 10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms.</div><div>
The candidate should possess a strong background in Snowflake, demonstrating leadership in technical design, architecture, and implementation of complex data solutions.</div><div></div><div> 
Working hours - 8 hours , with a few hours of overlap during EST Time zone. This overlap hours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM</div></div>
Responsibilities include:<div><ul><li>
Mandatory Skills: Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance</li><li>
Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability.</li><li>
Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. Ensure efficient data extraction from SAP BW/ECC systems</li><li>
Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.</li><li>
Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies.</li><li>
Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments.</li><li>
Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing.</li><li>
Conduct performance tuning and optimization of Snowflake databases and queries.</li><li>
Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices.</li></ul></div>
Primary Skills :<div><ul><li>
Extensive experience in designing and implementing data solutions using Snowflake. DBT,</li><li>
Proficiency in data modeling, schema design, and optimization within Snowflake environments.</li><li>
Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake.</li><li>
Expertise in python/java/scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake.</li><li>
Familiarity with other cloud platforms and data technologies (e.g., AWS, Azure, GCP )</li><li>
Demonstrated experience in implementing data governance frameworks and DataOps practices.</li><li>
Familiarity with realtime streaming technologies and Change Data Capture (CDC) mechanisms.</li><li>
Knowledge of data governance principles and DataOps methodologies</li><li>
Proven track record of architecting and delivering complex data solutions in cloud platforms/ Snowflake.</li></ul></div>
Secondary Skills :<div><ul><li>
Understanding of SAP BW/ECC systems, including data extraction, transformation, and loading (ETL/ELT) processes</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</li><li>
Experience in designing, developing, and implementing SAP ABAP programs, reports, interfaces, and enhancements</li><li>
Working experience in SAP environments</li><li>
Knowledge of data security and compliance standards</li><li>
Proficiency in SAP ABAP (Advanced Business Application Programming) development.</li><li>
Excellent communication and presentation skills, with the ability to convey complex technical concepts to juniors, non-technical stakeholders.</li><li>
Strong problem-solving and analytical skills - Ability to work effectively in a collaborative team environment and lead cross-functional initiatives.</li></ul></div></div><div><div>
Job Details</div>
Role:
Sr. Data Architect
Location :
Trivandrum/Kochi
Close Date :
31-10-2025
Interested candidates may forward their detailed resumes to Careers@reflectionsinfos.com along with their notice period, current and expected CTC details. This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. Please contact careers@reflectionsinfos.com for any clarification/ alerts on this subject.</div></div><div></div>

Sr. Data Architect

Muller's Solutions

<div>M&uuml;ller's Solutions is on the hunt for a talented Data Architect to join our dynamic team. This essential role involves designing and managing comprehensive data architectures that support our strategic business initiatives. You will be instrumental in establishing best practices for data management and ensuring the integrity, quality, and security of our data. Collaborating closely with cross-functional teams, you will lead efforts to develop innovative data solutions that drive efficiency and growth within the organization. 
Responsibilities: 
<ul>
<li>
Design and implement data architecture frameworks that align with business objectives and improve decision-making processes.</li>
<li>Create and maintain both logical and physical data models to effectively organize our data assets.</li>
<li>Work collaboratively with business analysts and stakeholders to gather data requirements and ensure consistency with the data strategy.</li>
<li>Lead data integration initiatives, guaranteeing smooth connectivity among various systems and applications.</li>
<li>Remain informed about industry trends and new technologies to promote ongoing advancements in data architecture practices.</li>
<li>Provide mentorship and guidance to junior data professionals regarding best practices and technical expertise.</li>
<li>Foster a culture of data-informed decision-making throughout the organization.</li>
<li>Understand, document, and analyze existing data architecture designs and their modifications.</li>
<li>Establish the future data reference architecture, detailing data entities, relationships, associated standards, etc.</li>
<li>Identify gaps in data architecture and enterprise data designs.</li>
<li>Define and develop data elements and entities, including detailed definitions, relationships among them, associated theories, relevant services, and procedures.</li>
<li>Specify and develop requirements for data exchange and integration.</li>
<li>Define data requirements for various solutions and services.</li>
<li>Develop data architecture designs and facilitate the technical integration of applications for projects throughout their development and implementation phases.</li>
<li>Create and update principles, standards, and frameworks pertaining to data.</li>
</ul>
Requirements 
 Requirements<ul><li>Bachelor's degree in Business or Information Technology</li><li>In-depth knowledge of data management and governance</li><li>Experience with data management products</li><li>Proven ability to lead a data management team q</li><li>Understanding of alignment with strategic and operational goals</li><li>Familiarity with relevant technical and national regulations and standards, along with the capability to implement them</li><li>Strong communication skills and ability to build relationships</li><li>Competence in assessing compliance and generating necessary reports</li><li>Expertise in statistics, data analysis, and research methodologies</li><li>Certified Enterprise Architect TOGAF +9</li></ul>
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

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