data solutions architect

YO IT CONSULTING

<div><h2 class="jobSectionHeader"><b>Data Engineering Solutions Architect</b></h2>
<p><b>Experience:</b> 8&ndash;12 Years<br>
<b>Location:</b> Ahmedabad<br>
<b>Work Mode:</b> 5 Days Work From Office<br>
<b>Office Location:</b> Ambawadi, Ahmedabad</p>
<h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p>We are seeking an experienced <b>Data Engineering Solutions Architect</b> to join our growing Data Practice. The ideal candidate will have <b>8&ndash;12 years of hands-on experience</b> in designing, architecting, and delivering large-scale <b>data warehousing, data lake, ETL/ELT, and reporting solutions</b> across modern and traditional data platforms.</p>
<p>This role requires a strong balance of <b>technical depth, solution architecture leadership, and a consulting mindset</b>. You will work closely with clients and internal teams to define <b>scalable, secure, and cost-effective data architectures</b> that enable advanced analytics and AI-driven insights, while also contributing to internal best practices and capability building.</p>
<h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li><p>8&ndash;12 years of experience in <b>data engineering and data architecture</b>, with hands-on solution delivery</p>
</li><li><p>Deep expertise in <b>Snowflake or Databricks</b></p>
</li><li><p>Strong working knowledge of <b>dbt, Matillion, SQL, Python, and/or PySpark</b></p>
</li><li><p>Experience designing and implementing <b>data pipelines and orchestration frameworks</b> using <b>Airflow, Control-M</b>, or similar tools</p>
</li><li><p>Familiarity with <b>cloud-native data engineering services</b>, such as:</p>
<ul><li><p>AWS Glue, Redshift, Athena</p>
</li><li><p>GCP BigQuery, Dataflow, Pub/Sub</p>
</li><li><p>Or equivalent services</p>
</li></ul></li><li><p>Strong understanding of <b>data modeling, ETL/ELT design</b>, and modern architecture patterns (medallion, layered, modular)</p>
</li><li><p>Experience integrating and troubleshooting <b>APIs and real-time ingestion technologies</b> (Kafka, Kinesis, Pub/Sub, REST APIs)</p>
</li><li><p>Familiarity with <b>traditional ETL and data integration tools</b> (Informatica, SSIS, Oracle Data Integrator, etc.)</p>
</li><li><p>Solid understanding of <b>data governance, performance tuning, and Data DevOps</b> (CI/CD, version control, monitoring)</p>
</li><li><p>Excellent <b>communication, problem-solving, and stakeholder management</b> skills</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li><p>Relevant certifications such as:</p>
<ul><li><p>Snowflake SnowPro</p>
</li><li><p>Databricks Certified Architect</p>
</li><li><p>AWS Data Analytics Specialty</p>
</li><li><p>Google Professional Data Engineer</p>
</li></ul></li><li><p>Prior <b>consulting or client-facing experience</b></p>
</li><li><p>Exposure to <b>AI/ML platforms, data quality, or metadata management frameworks</b></p>
</li><li><p>Experience designing solutions across <b>multi-cloud or hybrid environments</b></p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><p>Design and architect <b>end-to-end data solutions</b> using Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M, and cloud-native services on <b>AWS / Azure / GCP</b></p>
</li><li><p>Define and implement <b>data ingestion, transformation, integration, and orchestration frameworks</b> for structured and semi-structured data</p>
</li><li><p>Architect <b>data lakes and data warehouses</b> with a focus on scalability, cost optimization, performance, and governance</p>
</li><li><p>Design solutions for <b>real-time, micro-batch, event-driven, and API-based data integration</b></p>
</li><li><p>Lead design and delivery of <b>data visualization and reporting solutions</b> using <b>Power BI, Tableau, and Streamlit</b></p>
</li><li><p>Collaborate with business and technical stakeholders to gather requirements and define <b>architecture blueprints aligned with business goals</b></p>
</li><li><p>Establish and enforce <b>engineering standards, reusable frameworks, and best practices</b></p>
</li><li><p>Mentor data engineers and support <b>internal capability building</b> on modern data technologies</p>
</li><li><p>Provide <b>thought leadership</b> on modern data platforms, data modernization, and AI/ML integration strategies</p></li></ul></div>

Data Engineer Solution Architect

<div><h2 class="jobSectionHeader"><b>Title:</b><b> Data Engineering Solutions Architect</b></h2>
<p><b>Experience:</b> 8&ndash;12 Years<br>
<b>Location:</b> Ahmedabad</p>
<p><b>This is 5 days work from office role</b></p>
<p><b>Office Location- Ambawadi, Ahmedabad</b></p>
<p><b>Required Qualifications</b></p>
<ul><li><b>8&ndash;12 years of experience in data engineering and architecture, including hands-on solution delivery.</b></li>
<li>Deep expertise with <b>Snowflake or Databricks, with strong working knowledge of tools like dbt, Matillion, SQL, and Python or PySpark</b>.</li>
<li>Experience designing and implementing <b>data pipelines and orchestration</b> using tools like <b>Airflow, Control-M, or equivalent</b>.</li>
<li>Familiarity with <b>cloud-native data engineering services</b> (Such as AWS Glue, Redshift, Athena, GCP BigQuery, Dataflow, Pub/Sub, etc.) or similar.</li>
<li><b>Strong understanding of data modelling, ELT/ETL design, and modern architecture frameworks (medallion, layered, or modular architectures).</b></li>
<li>Experience integrating and troubleshooting <b>APIs and real-time data ingestion technologies</b> (Kafka, Kinesis, Pub/Sub, REST APIs).</li>
<li>Familiarity with <b>traditional ETL and data integration tools</b> (Informatica, SSIS, Oracle Data Integrator, etc.).</li>
<li>Excellent understanding of <b>data governance, performance tuning, and DevOps for data (CI/CD, version control, monitoring)</b>.</li>
<li>Strong communication, problem-solving, and stakeholder management skills.</li>
</ul><p><b>Preferred Qualifications</b></p>
<ul><li>Certifications such as:</li>
<li><b>Snowflake SnowPro</b>, <b>Databricks Certified Architect</b>, <b>AWS Data Analytics Specialty</b>, or <b>Google Professional Data Engineer</b>.</li>
<li>Prior <b>consulting or client-facing experience</b>.</li>
<li>Exposure to <b>AI/ML, data quality, or metadata management frameworks</b>.</li>
<li>Experience leading solution design across <b>multi-cloud or hybrid environments</b>.</li>
</ul><p><b>Key Responsibilities</b></p>
<div><ul><li>Design and architect <b>end-to-end data solutions</b> using technologies like <b>Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M</b>, and cloud-native services on <b>AWS/Azure/GCP</b>.</li></ul>
<ul><li>Define and implement <b>data ingestion, transformation, integration and orchestration frameworks</b> for structured and semi-structured data.</li></ul>
<ul><li>Architect <b>data lakes and data warehouses</b> with an emphasis on scalability, cost optimization, performance, and governance.</li></ul>
<ul><li>Support <b>real-time and API-based data integration</b> scenarios; design solutions for streaming, micro-batch, and event-driven ingestion.</li></ul>
<ul><li>Lead design and delivery of <b>data visualization and reporting</b> solutions using tools such as <b>Power BI, Tableau, and Streamlit</b>.</li></ul>
<ul><li>Collaborate with business and technical stakeholders to define requirements, design architecture blueprints, and ensure alignment with business objectives.</li></ul>
<ul><li>Establish and enforce <b>engineering standards, frameworks, and reusable assets</b> to improve delivery efficiency and solution quality.</li></ul>
<ul><li>Mentor data engineers and help build internal capability on emerging technologies.</li></ul>
<ul><li>Provide thought leadership around <b>modern data platforms, AI/ML integration, and data modernization strategies</b>.</li></ul>
</div><p><b>Job Description</b></p>
<p>We are looking for an experienced <b>Data Engineering Solutions Architect</b> to join our growing Data Practice. The ideal candidate will have <b>8&ndash;12 years of hands-on experience</b> designing, architecting, and delivering large-scale data warehousing, data lake, ETL, and reporting solutions across modern and traditional data platforms. You will play a key role in defining <b>scalable, secure, and cost-effective architectures</b> that enable advanced analytics and AI-driven insights for our clients.</p>
<p>This role demands a balance of technical depth, solution leadership, and consulting mindset - helping customers solve complex data engineering challenges while also building internal capability and best practices within the organization.</p></div>

Microsoft

<div><b>Overview</b><div><p><br>
Microsoft Industry Solutions Delivery is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft&rsquo;s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs.</p></div><div><p><br>
<br>
Our organization is at the forefront of innovation, driving value across the entirety of the customers&rsquo; digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Cloud and AI. We take pride in embodying Microsoft's mission of empowerment, promoting a growth mindset, inspiring excellence, and fostering a culture of inclusivity where everyone is encouraged to share their unique perspectives and be their authentic selves. By joining our team, you'll have the opportunity to contribute to life-changing innovations that impact billions of people worldwide.</p></div><div><p><br>
<br>
The Solution Architect is responsible for translating the client&rsquo;s business requirements into specific systems, applications, or process designs for very large complex technology solutions and architectures. You&rsquo;ll act as an advocate for the client as the ultimate authority on the architecture designed to address client business problems. You&rsquo;ll provide direction for design activities, often project-based, sometimes working at customer sites.</p></div><div><p><br>
<br>
As a Solution Architect you&rsquo;ll gather customer/partner insights from a broad range of stakeholders to shape and form both the definition and ongoing execution of projects. You&rsquo;ll define and document the architecture to communicate the value proposition of the business solution along with the project approach. Collaborating with the Project Manager you&rsquo;ll jointly drive project/technical governance of the design, build, and deployment into use. You&rsquo;ll work with the business sponsor and customer/partner stakeholders to gather and ratify requirements and constraints and collaborating with the Account Team and/or Bid Team to understand the business solution/problem. This role is flexible in that you can work up to 50% from home.</p></div><div><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div><b><br>
Responsibilities</b><div><div><p><br>
Responsibilities -</p></div><div><ul><li><p>
You will gather customer/partner insights from a broad range of stakeholders as well as the main business sponsor to shape and form both the definition and ongoing execution of projects and work with customer/partner stakeholders and business sponsor to socialize both the business solution and the project approach to determine if changes are needed to the business solution.</p></li></ul></div><div><ul><li><p>
You will use evidence-based approach to represent the customer/partner as a customer advocate and share insights with Product Engineering teams and the business with a view to improving Microsoft technologies, products, services and offerings such that they can better meet customer/partner needs across a territory.</p></li></ul></div><div><ul><li><p>
You will define and document the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution along with the project approach.</p></li></ul></div><div><ul><li><p>
You will work with customers to understand and demonstrate business value (e.g., release of revenue, cost savings) that the business solution realizes and manage and resolve ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved.</p></li></ul></div><div><ul><li><p>
You will generate new and/or improvements to existing intellectual property. Connects gaps and patterns across business and technology areas to drive changes.</p></li></ul></div><div><ul><li><p>
You will identify which ideas should be culled, with consideration for scale across customers and drive the re-use of intellectual property and recommends practices in both pre-sales and delivery as well as participate and contribute to internal/external communities.</p></li></ul></div><div><ul><li><p>
You will lead virtual teams around technologies and customer/partner challenges by sharing ideas, insight, and strategic, technical input with technical teams, internal communities across the field and the larger virtual team across Microsoft using knowledge of Microsoft architectures and their context in the competitive landscape.</p></li></ul></div><div><p><br>
<br>
Technology Areas -</p></div><div><ul><li><p>
Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.</p></li></ul></div><div><ul><li><p>
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.</p></li></ul></div><div><ul><li><p>
Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.</p></li></ul></div></div><div><div><ul><li><p>
Experience working with transactional, temporal, time series, and structured and unstructured data.</p></li></ul></div><div><ul><li><p>
Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, GCP&rsquo;s Big Query, AWS Redshift, Azure Data Lake, Azure Data Explorer<br>
Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau)</p></li></ul></div><div><ul><li><p>
Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks)</p></li></ul></div><div><ul><li><p>
Experience with cloud infrastructure, storage optimization and query optimizations.</p></li></ul></div><div><ul><li><p>
Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.</p></li></ul></div><div><ul><li><p>
Proficiency in data modeling and design, including SQL development and database administration.</p></li></ul></div><div><ul><li><p>
Experience with cloud platforms, such as Azure, to manage and integrate data systems.</p></li></ul></div><div><ul><li><p>
Knowledge of big data developments and technology architectures.</p></li></ul></div><div><ul><li><p>
Familiarity with data security measures and compliance regulations.</p></li></ul></div><div><ul><li><p>
Ability to design and model database, data warehouse, and data flow infrastructures.</p></li></ul></div><div><ul><li><p>
Understanding of data integration and the tools to manage data flow</p></li></ul></div></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain of Data &amp; AI.</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years technical sales experience</p></li></ul></div><div><ul><li><p>
Minimum 8+ years on the Data solution area with experience on AI/ML</p></li></ul></div><div><ul><li><p>
Presales and Delivery Experience for large and complex deals</p></li></ul></div><div><ul><li><p>
Background of Data Migration and Modernization on cloud</p></li></ul></div></div><p></p><div><div><p><br>
Preferred Qualifications:</p></div><div><ul><li><p>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p><br>
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)</p></li></ul></div><div><ul><li><p>
OR equivalent experience</p></li></ul></div><div><ul><li><p>
6+ years project management experience</p></li></ul></div><div><ul><li><p>
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers</p></li></ul></div><div><ul><li><p>
Technical or Professional Certification in Domain (e.g., Security)</p></li></ul></div><p></p><div><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</p></div></div><br>
<p></p>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data & AI, Solution Architect

Solution Architect - Data Engineering

NorthBay Solutions

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

Data Architect – AWS

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect &ndash; AWS</b></h2><p><b>
Experience:</b> 12+ Years<br>
<b>Location:</b> Hybrid &ndash; Lahore, Karachi, Islamabad<br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul><p>
</p><p>Tn0IEhqF8t</p></div>

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect &ndash; AWS</b></h2><p><b>
Experience:</b> 12+ Years<br>
<b>Location:</b> Hybrid &ndash; Lahore, Karachi, Islamabad<br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul><p>
</p><p>ntTTDK4LKn</p></div>

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