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Data Architect - Technology Consulting

14 - 20 years

35 - 50 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Designation/Role:

Experience: +14 years

Location

Technology and Data Architect to lead the consulting including design, development, and deployment of scalable data architectures and AI/ML solutions. The ideal candidate will be responsible for shaping enterprise-level data strategies and roadmaps and overseeing the technical delivery of end-to-end machine learning pipelines, from data ingestion to model serving.

Technology Stack

Hands-on proficiency with:

  • Data Tools

    : Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, Databricks
  • ML Frameworks

    : TensorFlow, PyTorch, scikit-learn, XGBoost
  • MLOps

    : MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML
  • Languages

    : Python, SQL, optionally Scala or Java

Role

  • Strong knowledge of cloud-native data architectures (data lakes, data warehouses, lakehouses), ETL/ELT pipelines, data integration, and data quality strategies.
  • Knowledge of AI ML : feature engineering, training, validation, model management, and inference.
  • Should have knowledge of Databases NO SQL and SQL and vector , proven capabilities in designing and building database schemas and solutions.
  • Experience deploying LLMs or generative AI models in production (e.g., LangChain, Hugging Face, OpenAI API).
  • Strong knowledge of App development , microservices application and event driven architecture and all aspects such as IDEs, Java runtime, interservice communication, Logging/Monitoring aspects, Authorization, Bounded-Context based modeling, domain driven design.
  • Should have knowledge of enterprise architecture, decision making, build vs buy comparisons
  • Experience in Customer Presentations, drafting consulting decks, presenting organization capabilities to external clients, building architecture for consulting assignments.
  • Experience in As-Is and Gap Analysis with an eye for details.
  • Experience in Technology Consulting , ability to articulate customer issues , explain technical debts and propose modern solutions.
  • Should be able to provide succinct diagrams and workflows as needed and be able to lead large and complex business meetings involving multiple stakeholders.
  • Strong knowledge of API Management and API Integration design patterns
  • Ability to conduct and drive workshops
  • Knowledge of deployment and branching strategies

Good to have:

  • Should have knowledge of Solution Architecture and Design Patterns
  • Should have knowledge of Systems, Infrastructure, Networking, Protocols, API led architecture, State Machines, Workflow frameworks
  • Should have certifications such as AWS Solutions Architect, Azure Architect, TOGAF or similar
  • Strong knowledge of Kafka, MQ or Message Broker architecture and distributed caching
  • Strong knowledge on skills in Jenkins, Docker, Kubernetes, OpenShift, RHEL, Helm and any other DevSecOps tools.
  • Strong knowledge of cloud native components like VMs, Managed Databases, Storage buckets, Cloud formation, Monitoring tools, SQS, SNS , Lamda functions etc.
  • Strong knowledge of Security Concepts and OWASP.
  • Knowledge of Banking and Payment architectures with knowledge of Cards and Payment solutions, Card Management Systems, Auth Systems, ISO, EMV, Banking Compliance regulations etc.
  • Experience in defining scope and sizing of work, estimation of work.
  • Work closely with team and guide them technically, review code and manage technical delivery
  • Knowledge of Industry Partnership models and Strategic Partnership experience
  • Public Cloud Marketplace certification experience
  • Ability to create technical blogs and white papers
  • Infrastructure Management experience
  • Knowledge of Developer Insights, DORA or any other such metrics
  • Knowledge of MosCow or ITIL principles
  • Experience in defining SLA, SLOs
  • Experience in quality engineering processes
  • Experience in Perf or chaos testing
  • Experience with setting up monitoring tools
  • Experience with Data Engineering
  • AI ML solutioning

Opus Technologies

Were headquartered in Alpharetta, Georgia, USA and our offshore software development center based out of Pune & Hyderabad offices in India.

Please visit our website for more information.

Supercharge your career with Opus

https://opustechglobal.com/company/

https://opustechglobal.com/careers/

https://opustechglobal.com/resources/

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Opus Technologies
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