<p>Data Architect< <</p> <p>Talent Fulfillment Group JD Format<</p> <p>Job Description<</p> <p>Role: Data Architect - Onsite ( USA ) - Level - 7<</p> <p>Job Summary :<</p> <p>Looking for data architect (onsite) , who will lead i nvolves in designs and maintains the data infrastructure that enables storage, access,<</p> <p>and analysis across the business and client needs . They define how data is collected, structured, integrated, and governed to ensure<</p> <p>scalability, security, and performance.<</p> <p>Years of experience needed : 1 5 + Years in Data Engineering in insurance domain<</p> <p>Responsibilities :<</p> <p>Key responsibilities include modelling database structures, selecting technologies, setting governance policies, and working closely<</p> <p>with engineers ( clients ) , analysts, and compliance teams. They play a critical role in supporting business intelligence, and regulatory<</p> <p>initiatives.<</p> <ul> <li>Defining data architecture strategies, frameworks, and models< </li><li>Designing and optimizing databases, warehouses, and data lakes< </li><li>Ensuring data structures meet business and compliance needs< </li><li>Collaborating with data engineers and analysts on pipeline architecture< </li><li>Overseeing metadata management, catalogues, and lineage tracking< </li><li>Ensuring data integrity, scalability, and performance< </li><li>Selecting appropriate storage and cloud platforms (e.g. Snowflake, AWS, Azure, Big Query , Redshift)< </li><li>Supporting data governance and access control policies< </li><li>Reviewing existing systems for improvement or migration< </li><li>Documenting technical standards and architectural decisions< </li><li>System design with strategic alignment and governance.< </li></ul> <p>Technical Skills:<</p> <ul> <li>E xperience designing, implementing, and managing data analytics using Databricks in insurance domain.< </li><li>Proven experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud AWS </li><li>Design and implement scalable ETL pipelines using Databricks to process and transform data from multiple sources. </li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high - quality </li></ul> <p>data solutions.</p> <ul> <li>Optimize data workflows and ensure data quality and integrity throughout the ETL process. </li><li>Monitor and troubleshoot data pipeline performance, implementing improvements as necessary. </li><li>Work with cloud technologies, specifically AWS, to manage data storage and processing resources effectively. </li><li>Document data engineering processes, architecture, and best practices to ensure knowledge sharing within the team. </li><li>Stay updated with the latest trends and technologies in data engineering and cloud computing. </li><li>Strong proficiency in Python, PySpark and SQL with hands - on experience developing data pipelines. </li><li>Data Modeling/ Data Lineage and awareness of Canonical data model implementation< </li><li>Experience in Medallion Architecture implementation< </li><li>Experience in working Insurance domain< </li><li>Experience with JIRA< </li></ul> <p>Mandatory Skills<</p> <ul> <li>Strong expertise in Databricks, including the ability to develop and optimize ETL pipelines.< </li><li>Proven experience with AWS cloud services, particularly in data storage and processing.< </li><li>Solid understanding of data modeling, data warehousing, and data integration techniques.< </li><li>Proficiency in programming languages such as Python or Scala for data manipulation and transformation.< < < </li></ul> <p>Talent Fulfillment Group JD Format<</p> <ul> <li>Strong proficiency in Python, PySpark and SQL with hands - on experience developing data pipelines.< </li><li>Familiarity with data governance and data quality frameworks.< </li><li>Experience in Power BI, GitLab< </li><li>Experience in working with Agile methodologies.< </li></ul> <p>Qualification<</p> <ul> <li>Education qualification MCA or bachelor's degree in engineering from a reputed college< </li><li>Databricks certification is preferred.< </li><li>LOMA certification in Insurance is preferred< </li></ul> <p>About Mphasis<</p> <p>Mphasis applies next - generation technology to help enterprises transform businesses globally. Customer centricity is foundational to<</p> <p>Mphasis and is reflected in the Mphasis' Front2Back Transformation approach. Front2Back uses the exponential power of cloud<</p> <p>and cognitive to provide hyper - personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service<</p> <p>Transformation approach helps 'shrink the core' through the application of digital technol ogies across legacy environments w ithin an<</p> <p>enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and< < New York10 - 14 Years10H02-Mar-2026YACTIVE113174-13-1</p>