Inteliment Technologies - Technical Architect - Data Engineering
Inteliment
- Location
- Pune Division, Maharashtra, India
- Job type
- Full-time
Required skills
- Tableau
- Looker
- Python
- Power BI
- Agile
- AWS
- API
- Azure
- Business Intelligence
- cross-functional
- data architecture
- data lake
- data models
- end-to-end
- ETL
- GCP
- Git
- Snowflake
- SQL
- Qlik
About the role
Inteliment
Website:
inteliment.com
Job details:
Role & Responsibilities
Enterprise Data Architecture :
- Design end-to-end data ecosystems spanning ingestion, transformation, storage, governance, and visualization.
- Architect scalable cloud-native data platforms for enterprise analytics workloads.
- Define reusable architecture standards, frameworks, and best practices.
- Enable high-performance, secure, and resilient analytics environments.
Data Engineering & Platform Modernization
- Build and optimize large-scale ETL/ELT pipelines.
- Design modern data lake, Lakehouse, and warehouse architectures.
- Work across structured, semi-structured, and unstructured datasets.
- Improve data reliability, observability, scalability, and performance.
Decision Intelligence & Visualization
- Architect executive-grade BI and visualization ecosystems.
- Architect and oversee implementation of AI/ML based Agentic solutions, Gen AI & RAG based systems.
- Build scalable semantic and analytical data models.
- Enable intuitive, business-centric reporting experiences.
- Translate enterprise KPIs and operational requirements into actionable intelligence systems.
Technical Leadership
- Guide engineers, BI developers, and analytics teams across architecture and delivery.
- Drive engineering quality through reviews, governance, and technical standards.
- Mentor teams on scalable design thinking and modern analytics engineering practices.
- Collaborate with delivery, business, and leadership stakeholders to align technology with enterprise goals.
Enterprise Engagement
- Participate in client workshops, architecture discussions, and transformation roadmaps.
- Contribute to solution proposals, estimations, and technical strategy.
- Act as a trusted advisor for enterprise analytics modernization initiatives.
Preferred Candidate Profile
Primary Technical Capabilities :
- Data Engineering Architecture and frameworks.
- Enterprise Analytics Engineering.
- Data Platform Modernization.
- Visualization & BI Architecture.
- Cloud Data Ecosystems.
- Performance Optimization & Scalability.
Platform & Technology Ecosystem
- Python / PySpark / SQL.
- Spark & distributed data processing frameworks.
- Snowflake / Redshift / Big Query / modern cloud warehouses.
- AWS / Azure / GCP ecosystems.
- ETL/ELT platforms such as Informatica, Talend, SSIS, or equivalent.
- Power BI / Tableau / Qlik / Looker.
- Data lakes, Lakehouse architectures, and enterprise warehouses.
- Git, CI/CD pipelines, API integrations.
Data & Decision Intelligence Exposure
- Enterprise data modelling (Star/Snowflake schemas).
- Real-time and operational analytics.
- Decision-support systems.
- KPI engineering and business intelligence frameworks.
- Governance, data quality, and analytics reliability.
Collaboration & Business Capabilities
- Enterprise stakeholder communication.
- Solution consulting and architecture presentations.
- Cross-functional collaboration.
- Delivery ownership and execution alignment.
- Agile and iterative engineering practices.
(ref:hirist.tech)
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.
