senior data warehouse architect

Acenet consulting

<div><div><b>Experience:</b> 7 to 13 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101347
<br>
<b>Posted on:</b> Oct 08, 2025<br>
</div><br>
<p>About Us:<br>
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.<br>
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.</p>
<p>Job Summary:<br>
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.</p>
<div>Key Responsibilities:<br>
<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:<br>
<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:<br>
<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>
<p>How to Apply:<br>
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.</p></div>

Senior Data Architect (Enterprise Modernization & Analytics)

BlizzUp Technologies

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


Data Warehouse Architect

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
We are seeking an experienced Data Architect to design and develop a scalable, secure, and efficient data platform. The Data Architect will be responsible for designing and implementing the data architecture platform, will work on multiple Data &amp; Information projects in GE HealthCare as a project leader or internal consultant. The successful candidate will have a strong background in cloud computing, software architecture and implementation with a passion for technology innovation and cross functional collaboration.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles and Responsibilities</b></p><p></p><div><div><div><ul><li><b>
Design and Architect Data Systems:</b> Design and structure all data systems, including databases, warehouses, and lakes, focusing on security, scalability, and long-term strategy.</li><li><b>
Develop Data Models:</b> Create and maintain logical and physical data models that translate complex business requirements into technical data specifications.</li><li><b>
Implement and Optimize Data Pipelines:</b> Design, develop, and implement ETL/ELT processes, ensuring efficient and scalable data flow from various sources.</li><li><b>
Conduct Hands-on Code Reviews:</b> Perform detailed code reviews for data-related projects, ensuring code quality, architectural integrity, and adherence to best practices.</li><li><b>
Oversee Self-Serve Data Platforms:</b> Design, build, and oversee the creation of self-serve data platforms, empowering domain teams to manage their data products autonomously.</li><li><b>
Drive Data Governance and Quality:</b> Define and enforce data governance standards, ensuring data quality, security, and compliance with regulations like HIPAA.</li><li><b>
Optimize Performance and Costs:</b> Continuously mature and optimize the existing data architecture for better performance, cost-efficiency, and reusability.</li><li><b>
Evaluate and Recommend Technology:</b> Research and recommend emerging data technologies and analytical methods to support the organization's needs and stay current with industry trends.</li><li><b>
Provide Technical Leadership:</b> Offer expert guidance and mentorship to development teams, leading through technical challenges and promoting a culture of innovation.</li><li><b>
Communicate and Collaborate:</b> Effectively translate technical strategies for non-technical stakeholders, align data solutions with business needs, and influence senior leadership.</li></ul></div></div></div><p><b><br>
Education Qualification</b></p><ul><li>
Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with advanced experience.</li></ul><p></p><div><b>
Experience</b></div><ul><li>
Candidates generally need 10+ years of professional experience in software development and data architecture.</li><li>
Extensive experience, often 4 or more years, with AWS or similar cloud technologies, particularly in designing scalable cloud solutions, is necessary.</li><li>
Strong hands-on experience with databases, big data technologies, and building reliable, large-scale data platforms is expected.</li><li>
Experience modernizing legacy data architectures for cloud and AI workloads is also valuable.</li><li>
Demonstrable experience with hands-on coding (Python, SQL, PySpark) for designing, implementing, and optimizing data architecture and pipelines.</li><li>
Proven experience in performing detailed code reviews and enforcing best practices in a data engineering context.</li></ul><div><b>
Skills</b></div><ul><li>
Required technical skills include proficiency in Python and SQL, strong knowledge of relevant AWS services like MSK, EMR, Glue, Lambda, and Redshift, expertise in real-time data streaming with Kafka and Spark, and in-depth knowledge of data modeling, lineage, cataloguing, and metadata management.
</li><li>Essential soft skills include excellent communication, strong leadership, strategic thinking, and analytical problem-solving abilities. Familiarity with Agile development methodology is also beneficial.</li></ul><div></div><div><b>
Preferred qualifications</b></div><ul><li>
A master's degree in a relevant field like Computer Science or Information Systems is preferred.</li><li>
Additional technical knowledge in processing unstructured data using advanced techniques like multi-modal LLMs, experience with information retrieval or content management systems, and experience with multi-modal AI architectures are highly desirable.</li><li>
Specific industry experience, such as information security assessments for cloud products in the healthcare sector, is a plus.</li><li>
AWS certifications, especially the AWS Solution Architect certification, are preferred.</li><li>
The ability to consult with customers to align technical solutions with enterprise outcomes is also valued.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Senior Staff Data Architect

Accenture

<div><p><b>Accenture Technology:</b><br>
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com</p><p></p><p><b>
Bring Your Individuality to Accenture:</b></p><p>
Your personality and individuality make the difference. At Accenture, we elevate our clients' entrepreneurial productivity and guide them into the digital age &mdash; especially in the transformative world of Data &amp; Analytics.</p><p></p><p>
e design, develop, and deliver cutting-edge software and services across all major industries, helping organizations rethink how they operate, grow, and create new business value.</p><p></p><p>
Are you looking for work that challenges and inspires every single day? Then this is your opportunity. A typical day at Accenture Data &amp; Analytics Solution Architecture doesn&rsquo;t exist &mdash; and that&rsquo;s exactly why people love being part of our team.</p><p></p><p>
This is your chance to leave a lasting footprint on mission-critical client projects. Step up, lead from the front, and drive the future of Data &amp; Analytics with us.</p><p></p><p><b>
Responsibilities:</b></p><p>
As a Senior Manager in our Data &amp; Analytics Solution Architecture team, you will:</p><ul><li><p>
Design and deliver market-relevant, scalable, and high-impact solutions for clients in areas such as:</p><ul><li><p>
Data Warehousing</p></li><li><p>
Cloud Analytics</p></li><li><p>
Artificial Intelligence &amp; Machine Learning</p></li><li><p>
ML-Ops</p></li><li><p>
Data Governance</p></li><li><p>
Master Data Management</p></li><li><p>
And more.</p></li></ul></li><li><p>
Translate complex business and technical requirements into future-proof application and technical architectures.</p></li><li><p>
Develop end-to-end solution concepts, including architecture vision, delivery organization, and operational models.</p></li><li><p>
Serve as a trusted advisor to clients and internal teams by bringing deep technical expertise and strategic insight.</p></li><li><p>
Support our sales and business development teams by contributing to solutioning, proposal writing, and client presentations.</p></li><li><p>
Utilize state-of-the-art methodologies and tools in developing solution architectures (e.g., Agile, DevOps, cloud-native services, data pipelines).</p></li></ul></div>
<br>
<div><p><b>Basic Qualifications:</b></p><ul><li><p>
Minimum of 15 years of relevant industry experience with hands-on project delivery in Data &amp; Analytics domains.</p></li><li><p>
Proven experience as a technical architect or solution architect in areas such as:</p><ul><li><p>
Data integration</p></li><li><p>
Analytics &amp; reporting</p></li><li><p>
Data science and machine learning</p></li><li><p>
Data management and governance</p></li><li><p>
System and enterprise architecture design</p></li></ul></li><li><p>
Strong understanding of modern software development methodologies, including:</p><ul><li><p>
Agile frameworks (Scrum, Kanban)</p></li><li><p>
Waterfall</p></li><li><p>
DevOps practices</p></li></ul></li><li><p>
A degree in (Business) Informatics, Mathematics, Engineering, or other STEM disciplines &ndash; or an equivalent qualification.</p></li><li><p>
Ability to lead multi-disciplinary teams and engage with C-level stakeholders confidently.</p></li><li><p>
Strong communication, stakeholder management, and leadership skills.</p></li></ul><p></p><p><b>
Why join us?</b></p><ul><li>
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues</li><li>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</li><li>
Flexible work arrangements and a range of benefits including competitive rewards</li><li>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</li><li>
You will also have opportunities to make a difference to the communities in which we work and live</li></ul><p></p><p><b>
Next Steps:</b><br>
If this sounds like the ideal role, career and company for you, click to apply.<br>
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.<br>
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube</p></div>

Senior Manager – Data & Analytics Solution Architecture

Blackstone

<div><div>Blackstone is the world&rsquo;s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at <div>www.blackstone.com</div>. Follow @blackstone on <div>LinkedIn</div>, <div>X</div>, and <div>Instagram</div>.</div><div></div><div>
Blackstone Technology &amp; Innovations (BXTI) is the technology team at the core of each of Blackstone&rsquo;s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.</div><div></div><div>
BXTI is entrepreneurial &ndash; our open, iterative design processes and rapid pace of development means that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.</div><div></div><div>
The Role</div><div>
The Senior Data Architect will play a critical role in helping to shape the firm&rsquo;s data strategy and platform. This position will be responsible for the design, implementation and evolution of the enterprise data architecture to support the firm&rsquo;s most critical functions.</div><div></div><div>
The role will establish and maintain enterprise-wide standards and patterns for data access, integration, and movement, ensuring that data flows are secure, efficient, and scalable. Working closely with investment, operations, compliance, and technology teams, the Senior Data Architect will define the architectural blueprint that underpins the firm&rsquo;s analytical capabilities, data governance framework, and digital transformation initiatives.</div><div></div><div>
Success in this role requires a unique combination of high-level strategic thinking &mdash; to set the vision and roadmap for the firm&rsquo;s data ecosystem &mdash; and hands-on technical expertise to help design, build and optimize the underlying data models, pipelines and platforms. The Senior Data Architect will help build a modern, resilient, and future-ready data platform that enables the business to leverage data as a strategic asset.</div><div></div><div>
Responsibilities</div><div>
Data Architecture &amp; Strategy</div><ul><li><div>
Establishment and adoption of standards and Patterns for modeling, data infrastructure and integration.</div></li></ul><div></div><div>
Governance &amp; Compliance</div><ul><li><div>
Collaborate with Data Governance to implement data quality frameworks, ensure compliance with appropriate regulatory regimes and enable audit-ready data lineage and metadata.</div></li></ul><div></div><div>
Technology &amp; Tools</div><ul><li><div>
Optimize cloud platforms (AWS, Azure), data services (Snowflake, AWS Services) and data tooling (ETL/ELT).</div></li></ul><div></div><div>
Stakeholder Collaboration</div><ul><li><div>
Collaborate with teams across the organization. Mentor data engineers and analysts, ensuring adherence to architectural standards and present architecture roadmaps and data strategies to senior leadership.</div></li></ul><div></div><div>
Qualifications</div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Information Systems, Finance, or related field.</div></li><li><div>
10+ years in data architecture, with at least 3+ years in financial services or asset management.</div></li><li><div>
Advanced Proficiency with data platforms (Snowflake), databases (amazon rds, dynamodb) and ETL/ELT tools.</div></li><li><div>
Expertise in data modeling, metadata management, and master data management.</div></li><li><div>
Strong SQL skills and proficiency in Python for data engineering.</div></li><li><div>
Experience with BI tools (Tableau, Sigma).</div></li><li><div>
Strong problem-solving skills and attention to detail.</div></li><li><div>
Strong communication and collaboration skills to work with cross-functional teams.</div></li></ul><div></div><div><br>
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.</div><div></div><div>
Expected annual base salary range:</div><div></div>
$220,000 - $250,000<div></div><div>
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.<br>
<br>
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone&rsquo;s sole discretion.</div><div></div><div>
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.</div><div></div><div>
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).</div><div></div><div>
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:</div><div></div><ul><li><div>
Attending client meetings where you are discussing Blackstone products and/or and client questions;</div></li><li><div>
Marketing Blackstone funds to new or existing clients;</div></li><li><div>
Supervising or training securities licensed employees;</div></li><li><div>
Structuring or creating Blackstone funds/products; and</div></li><li><div>
Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.</div></li></ul><div></div><div>
Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.<br>
<br>
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered &quot;prefer not to say&quot;). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.</div></div><div></div>

Senior Data Architect, SVP – DCDX

Srijan Technologies Pvt Ltd

<div><p><b>Senior Technical Architect &mdash; Data Science &amp; Agentic AI
</b></p><p><b>About us</b></p>
<p>
We turn customer challenges into growth opportunities.</p>
<p>
Material is a global strategy partner to the world&rsquo;s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
</p><p>We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.</p>
<p>
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.</p>
<h2 class="jobSectionHeader"><b>
Role summary</b></h2>
<ul><li> We&rsquo;re seeking a <b>hands-on Sr. Data Science Architect</b> who can lead the <b>end-to-end modeling lifecycle</b>&mdash;from problem framing and experiment design to production deployment and monitoring&mdash;while setting up the <b>technical architecture</b> for ML/GenAI and agentic systems. This is <b>not</b> a data-engineering-heavy role; you&rsquo;ll partner with DE/Platform teams, but your center of gravity is <b>modeling excellence, MLOps, and AI solution architecture</b> that moves business KPIs.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
<h3 class="jobSectionHeader"><b>Strategy &amp; Architecture (Data Science&ndash;first)</b></h3>
<ul><li> Own the <b>technical vision</b> for data-science initiatives; translate ambiguous business goals into modellable problems, <b>KPIs</b>, and <b>NFRs/SLOs</b>.</li></ul>
<ul><li> Define <b>reference architectures</b> for classical ML, deep learning, and <b>agentic GenAI</b> (RAG, tool-use, human-in-the-loop) including model registry, evaluation harness, safety/guardrails, and observability.</li></ul>
<ul><li> Make <b>build vs. buy</b> and model/provider choices (OpenAI/Claude/Gemini vs open-source), including optimization strategies (INT8/4, AWQ/GPTQ, batching, caching).</li></ul>
<h3 class="jobSectionHeader"><b>
DS Leadership &amp; Experimentation</b></h3>
<ul><li> Lead <b>problem decomposition</b>, feature strategy, <b>experiment design (A/B, interleaving, offline/online eval)</b>, error analysis, and model iteration.</li></ul>
<ul><li> Guide teams across <b>NLP, CV, speech, time series, recommendation, clustering/segmentation</b>, and causal/uplift where relevant.</li></ul>
<ul><li> Establish rigorous <b>quality bars</b>: data &amp; label quality checks, leakage prevention, reproducibility, and statistical validity.</li></ul>
<h3 class="jobSectionHeader"><b>
Productionization &amp; MLOps</b></h3>
<ul><li> Architect <b>CI/CD for models</b> (unit/contract tests, drift checks, performance gates), <b>model registry/versioning</b>, and <b>safe rollouts</b> (shadow, canary, blue-green).</li></ul>
<ul><li> Design <b>monitoring</b> for accuracy, drift, data integrity, latency, cost, and safety (toxicity, bias, hallucination); close the loop with automated retraining triggers where appropriate.</li></ul>
<ul><li> Orchestrate <b>RAG</b> pipelines (chunking, embeddings, retrieval policies), <b>agent planning/execution</b>, and feedback loops for continuous improvement.</li></ul>
<h3 class="jobSectionHeader"><b>
Stakeholders &amp; Enablement</b></h3>
<ul><li> Partner with product, strategy/innovation, design, and operations to align roadmaps; run <b>architecture and model review</b> sessions with clear trade-offs.</li></ul>
<ul><li> Provide <b>technical mentorship</b> to data scientists/ML engineers; codify patterns via playbooks, ADRs, and reference repos.</li></ul>
<ul><li> Collaborate with Ops/SRE to ensure solutions are <b>operable</b>: runbooks, SLIs/SLOs, on-call, and cost controls.</li></ul>
<h3 class="jobSectionHeader"><b>
Governance, Risk &amp; Compliance</b></h3>
<ul><li> Embed <b>model governance</b>: approvals, lineage, audit trails, PII handling, policy-as-code; support GDPR/ISO/SOC2 requirements.</li></ul>
<ul><li> Champion <b>human oversight</b> for agentic systems with clear escalation and decision rights.</li></ul>
<h2 class="jobSectionHeader"><b>
Must-have qualifications</b></h2>
<ul><li> <b>14&ndash;20 years</b> delivering AI/ML in production, with <b>5+ years</b> in an architect/tech-lead capacity.</li></ul>
<ul><li> Expert <b>Python</b> and ML stack (<b>PyTorch</b> and/or <b>TensorFlow</b>), plus strong <b>SQL</b> and software engineering fundamentals (testing, packaging, profiling).</li></ul>
<ul><li> Proven record architecting <b>scalable DS solutions</b> on <b>AWS/Azure/GCP</b>; hands-on with <b>Docker</b> and <b>Kubernetes</b>(collaborating with platform teams rather than building infra from scratch).</li></ul>
<ul><li> MLOps proficiency: <b>MLflow/Kubeflow</b>, model registry, pipelines (Airflow/Prefect/Vertex/Bedrock/SageMaker pipelines), feature stores, and real-time/batch serving (<b>KServe/Seldon/Triton/vLLM/Ray Serve</b>).</li></ul>
<ul><li> Depth across <b>traditional ML</b> and <b>DL</b> (NLP, CV, speech, time-series, recommendation, clustering/segmentation) and the ability to select/prioritize the right approach for the KPI.</li></ul>
<ul><li> Excellence in <b>communication</b> and <b>stakeholder leadership</b>; experience guiding cross-functional teams (DS, MLE, DE, Product, Ops) to ship value.</li></ul>
<h2 class="jobSectionHeader"><b>
Preferred qualifications</b></h2>
<ul><li> <b>Agentic AI &amp; RAG:</b> LangChain/LangGraph or equivalent orchestration; vector DBs (<b>pgvector</b>, Pinecone, Weaviate, Qdrant); retrieval policy design and evaluation.</li></ul>
<ul><li> <b>Evaluation &amp; Safety:</b> offline metrics (precision/recall, ROC/PR, BERT-F1, BLEU/ROUGE), <b>LLM eval harnesses</b>, red-teaming, prompt/response guardrails.</li></ul>
<ul><li> <b>Experimentation:</b> online testing at scale, counterfactual/causal inference, telemetry design.</li></ul>
<ul><li> <b>Performance &amp; Cost:</b> quantization, speculative decoding, KV caching, batching/collation, throughput tuning on CPU/GPU.</li></ul>
<ul><li> Familiarity with <b>data-viz/decision support</b> (Tableau/Power BI/D3) and <b>UX/HCI</b> collaboration for human-in-the-loop designs.</li></ul>
<ul><li> Consulting experience or multi-vendor delivery; pre-sales/SoW exposure.</li></ul></div>

Senior Technical Architect - Data Science

Reflections Info Systems

<div><div><div>Introduction</div><div><div>
We are looking for 10+Years experienced candidates for this role.</div></div><p>
Job Description</p><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><b><br>
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</b></div></div><p>
Responsibilities include:</p><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><p>
Primary Skills :</p><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><p>
Secondary Skills :</p><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><p>
Role:</p><p>
Sr. Data Architect</p><p>
Location :
</p><p>Trivandrum/Kochi</p><p>
Close Date :
</p><p>31-10-2025</p><p>
Interested candidates may forward their detailed resumes to<b> Careers@reflectionsinfos.com</b> 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.</p></div></div><div></div>

Sr. Data Architect

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