About the company :

At Inteliment, we help organizations turn data into powerful decisions. With two decades of proven expertise, we work with global customers to solve complex business problems using advanced data and analytics solutions. Our ACE Analytical Centre of Excellence brings together some of the best minds in data engineering, analytics, and AI to build next-generation decision intelligence platforms.

If you are passionate about data engineering, modern data platforms, and solving real business problems, this role will give you the opportunity to work on global enterprise data ecosystems.

About the role :

We are seeking a highly skilled Data Architect with strong hands-on expertise in Data Engineering and/or Data Visualization tools, having 6+ years of experience in the pure Data Analytics domain. The ideal candidate will be responsible for architecting scalable data solutions, guiding technical teams, and ensuring robust data pipelines, analytics frameworks, and visualization ecosystems aligned with business objectives.

Requirements :

- Bachelors or masters degree in computer sciences, Information Technology, or a related field.

- 6+ years of hands-on experience in Data Analytics domain.

- Strong experience in designing enterprise data solutions.

- Proven experience in handling large-scale data systems.

- Experience in client-facing roles is preferred.

- Certifications with related field will be an added advantage

Technical Skills :

Data Engineering Stack :

- Python / PySpark / SQL

- ETL Tools (e.g., Informatica, Talend, SSIS, or equivalent)

- Cloud Platforms (AWS / Azure / GCP)

- Data Warehousing (Snowflake, Redshift, BigQuery, etc.)

- Big Data Technologies (Spark, Hadoop preferred)

Visualization & BI Tools (At least one advanced tool mandatory) :

- Power BI

- Tableau

- Qlik

- Looker or equivalent

Database Technologies :

- SQL (MySQL, PostgreSQL, SQL Server, Oracle)

- NoSQL (MongoDB, Cassandra preferred)

Additional Preferred Skills :

- Data Modeling (Star/Snowflake schema)

- API integrations

- CI/CD for data pipelines

- Version control (Git)

- Agile methodology exposure

Soft Skills :

- Leadership : Strong leadership and mentoring capabilities to guide technical teams.

- Communication : Excellent communication skills for collaborating with cross-functional teams and stakeholders.

- Problem-Solving : Analytical mindset with a keen attention to detail.

- Adaptability : Ability to manage shifting priorities and requirements effectively.

- Team Collaboration : Strong interpersonal skills for fostering a collaborative work environment.

Responsibilities :

Solution Architecture & Design :

- Design end-to-end data architecture solutions including data ingestion, transformation, storage, and visualization.

- Architect scalable and high-performance data pipelines.

- Define best practices, standards, and governance frameworks for data analytics projects.

Data Engineering :

- Build and optimize ETL/ELT pipelines.

- Work with structured and unstructured datasets.

- Design and implement data lakes, data warehouses, and modern data platforms.

- Ensure data quality, integrity, and performance tuning.

Data Visualization & Analytics :

- Architect and implement enterprise-level dashboards and reporting solutions.

- Define data models optimized for BI tools.

- Guide teams in building intuitive, performance-driven visualizations.

- Translate business requirements into scalable analytics solutions.

Technical Leadership :

- Provide technical direction to data engineers, BI developers, and analysts.

- Conduct code reviews and enforce architectural standards.

- Collaborate with cross-functional teams including business stakeholders and delivery teams.

- Mentor junior team members and drive capability building.

Stakeholder Engagement :

- Participate in client discussions, solution presentations, and requirement workshops.

- Provide effort estimations and solution proposals.

- Act as a technical escalation point.