Data Architect

Role description

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Job Description

Role: Data Architect – Onsite ( USA ) – Level - 7

Job Summary :

Looking for data architect (onsite) , who will lead i nvolves in designs and maintains the data infrastructure that enables storage, access,

and analysis across the business and client needs . They define how data is collected, structured, integrated, and governed to ensure

scalability, security, and performance.

Years of experience needed : 1 5 \+ Years in Data Engineering in insurance domain

Responsibilities :

Key responsibilities include modelling database structures, selecting technologies, setting governance policies, and working closely

with engineers ( clients ) , analysts, and compliance teams. They play a critical role in supporting business intelligence, and regulatory

initiatives.

• Defining data architecture strategies, frameworks, and models

• Designing and optimizing databases, warehouses, and data lakes

• Ensuring data structures meet business and compliance needs

• Collaborating with data engineers and analysts on pipeline architecture

• Overseeing metadata management, catalogues, and lineage tracking

• Ensuring data integrity, scalability, and performance

• Selecting appropriate storage and cloud platforms (e.g. Snowflake, AWS, Azure, Big Query , Redshift)

• Supporting data governance and access control policies

• Reviewing existing systems for improvement or migration

• Documenting technical standards and architectural decisions

• System design with strategic alignment and governance.

Technical Skills:

• E xperience designing, implementing, and managing data analytics using Databricks in insurance domain.

• Proven experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud AWS

• Design and implement scalable ETL pipelines using Databricks to process and transform data from multiple sources.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high - quality

data solutions.

• Optimize data workflows and ensure data quality and integrity throughout the ETL process.

• Monitor and troubleshoot data pipeline performance, implementing improvements as necessary.

• Work with cloud technologies, specifically AWS, to manage data storage and processing resources effectively.

• Document data engineering processes, architecture, and best practices to ensure knowledge sharing within the team.

• Stay updated with the latest trends and technologies in data engineering and cloud computing.

• Strong proficiency in Python, PySpark and SQL with hands - on experience developing data pipelines.

• Data Modeling/ Data Lineage and awareness of Canonical data model implementation

• Experience in Medallion Architecture implementation

• Experience in working Insurance domain

• Experience with JIRA

Mandatory Skills

• Strong expertise in Databricks, including the ability to develop and optimize ETL pipelines.

• Proven experience with AWS cloud services, particularly in data storage and processing.

• Solid understanding of data modeling, data warehousing, and data integration techniques.

• Proficiency in programming languages such as Python or Scala for data manipulation and transformation.

Talent Fulfillment Group © JD Format

• Strong proficiency in Python, PySpark and SQL with hands - on experience developing data pipelines.

• Familiarity with data governance and data quality frameworks.

• Experience in Power BI, GitLab

• Experience in working with Agile methodologies.

Qualification

• Education qualification MCA or bachelor’s degree in engineering from a reputed college

• Databricks certification is preferred.

• LOMA certification in Insurance is preferred

About Mphasis

Mphasis applies 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 technol ogies across legacy environments w ithin an

enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and