About the Role :

Were seeking a Senior Data Solutions Architect to design and implement enterprise-grade data lakehouse architectures to power analytics, reporting, and AI use cases.

Youll work closely with business and technical teams to translate needs into scalable, high-performance, and secure data solutions that deliver measurable value

Key Responsibilities :

- Design and implement end-to-end cloud-based data lakehouse solutions (preferably on AWS).

- Architect data pipelines for ingestion, transformation, and consumption.

- Translate business requirements into scalable data models and technical architectures.

- Ensure data governance, security, and compliance are embedded into the architecture.

- Optimize performance and cost-efficiency of data infrastructure and workflows.

- Guide development teams and contribute to platform and tooling decisions.

Requirements :

- 5+ years of experience in data engineering or data architecture.

- Proven expertise in data lakehouse design and implementation, having led at least 1-2 implementations.

- Strong knowledge of SQL, Python, data modeling, and orchestration tools (Airflow, dbt).

- Cloud experience required; AWS preferred (also open to Azure or GCP).

- Good communication skills, with a strong business-oriented mindset.

About Us :

Analyttica is a rapidly growing leader in data and analytics, driven by a passion for solving complex challenges and delivering high-impact projects.

We specialize in tackling transformative initiatives that shape the future of data-driven business, blending the art and science of data to create lasting value.

Our Culture And Values :

Our team thrives on innovation, collaboration, and long-term growth, fostering a culture where experimentation, learning, and leadership are encouraged.

We operate with honesty and integrity, where each individual is empowered to take ownership and make a tangible impact, united by our mission to drive meaningful change and push boundaries