Data Architect

Location Pune
- Experience Range 8 - 12 Years
- Qualification BE (EEE)

Job title

Data Architect

AFOUR Technologies

ACL Digital Company

AFour is part of ACL Digital, an ALTEN Group Company, which is a digital product innovation and engineering leader. We help our clients design and build innovative products (AI, Cloud, and Mobile ready), content and commerce-driven platforms, and connected, converged digital experiences for the modern world through a design-led Digital Transformation framework. By integrating our strategic design, engineering, and industry capabilities, we help our clients decode the digital world and accelerate their growth journey.

Headquartered in Silicon Valley, ACL Digital is a leader in design-led digital experience, innovation, enterprise modernization, and product engineering services converging to Technology, Media & Telecom. We are a talented workforce and part of the 50,000+ employee ALTEN Group, spread across more than 30 countries, offering a multicultural workplace and a collaborative knowledge environment.

In INDIA we have operations in Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida and Ahmedabad. In the USA, we have offices in California, Atlanta, Philadelphia, and Washington states.

Other than the core project we expect you to use your talent and wisdom for regular Asset/IP creation projects, Presales POCs as well as training activities. In addition, we also expect the individuals to gain more knowledge and skills in areas like CI/CT/CD, K8S, AWS/Azure/OpenStack/GCP, AI/ML, SecOps, etc. with the help of resources made available by AFour practices.

At AFour Technologies you can look forward to working for Software Product Companies (our customers) as their Product Engineering Partners. This provides you a unique mix of working with product as well as services DNA. Creativity, innovation, flexibility, agility, challenges and fun come from product mindset predictability, reliability, planning, and tracking come from services mindset.

What are we looking for?

To be successful in this role a strong interest and knowledge within data engineering is needed, both when it comes to developing data pipelines as well as designing data models.

Technical skills and core competencies
- Strong understanding of Data Architecture and models and experience leading data driven projects.
- Solid expertise with strong opinions on Data Modelling paradigms such as Kimball, Inmon, Data Marts, Data Vault, Medallion etc.
- Strong experience with Cloud Based data strategies and big data technologies - AWS Preferred. Ability to create backend services in Python that enables the data pipelines is required.
- Demonstrated experience on designing data platforms on AWS for batch and stream processing pipelines.
- Hands-on experience using AWS Managed and other big data services such as EMR, Glue, S3, Kinesis, DynamoDB, ECS is a must.
- Strong understanding of working of Apache Spark is a must.
- Strong understanding of various Data Lake/Lakehouse storage formats such as Delta, Iceberg, Hudi
- Experience designing data lakehouse with Medallion architecture is desirable.
- Solid experience in designing data pipelines for ETL with expert knowledge on ingestion, transformation, and data quality is a must
- Hands-on experience in SQL is a must.
- Expertise designing ETL pipelines combining Python + SQL is required.
- Understanding of data manipulation libraries in python like Pandas, Polars, DuckDB is desired
- Experience in designing the Data visualization with different tools such as Tableau and PowerBI is desirable.
- Working knowledge of other Data Platforms on Azure, Databricks, Snowflake is desirable but not must.

**Responsibilities**:

- Participate in the design and developing features in the existing Data Warehouse.
- Provide leadership in establishing connection between Engineering, product and analytics/data scientists team.
- Design, implement, update existing/new batch ETL pipelines
- Define and implement data architecture.
- Partner with both engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the rest of the company.
- Work with various data orchestration tools (Apache Airflow, Dagster, Prefect and others)
- Embrace a fast-paced start-up environment.
- You should be passionate about your job and enjoy a fast-paced international working environment.
- Background or experience in the telecom industry is a plus but not a requirement.
- Love automating and enjoy monitoring

Experience

8 - 12 years

Mode of employment

Full time employment

Job Location

Pune