Job Description

Job Summary –

We are seeking a skilled Data Architect to design and implement robust, scalable, and secure data architectures across cloud and on-premise environments. The ideal candidate will define data models, govern data standards, and lead the integration of diverse data sources into unified platforms. You’ll collaborate with engineering, analytics, and business teams to align data solutions with organizational goals. Experience with data lakes, data warehouses, and modern ETL/ELT frameworks is essential. Expertise in cloud platforms like AWS, Azure, or GCP, and proficiency in SQL, Python, and data modeling tools is required. Strong understanding of data governance, security, and compliance best practices is a must.

Years of experience needed –

Technical Skills:

Screening Questions:

Process Skills:

About Mphasis

Mphasis applies to next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Skills

PRIMARY COMPETENCY : Data Engineering PRIMARY SKILL : Data Architect PRIMARY SKILL PERCENTAGE : 100