Jobs at Hexaware Technologies

Lead data integration efforts: integrate and profile data from multiple sources, cleanse and enrich datasets, perform in-depth analysis, build automated data workflows, write and optimize complex SQL, create Tableau dashboards, produce ad hoc reports, translate insights for stakeholders, and manage UAT to ensure solutions meet business requirements.

Design and implement complex Salesforce solutions by converting solution designs into scalable configuration and code. Build on standard configuration and Flows, implement Apex/LWC where needed, develop Financial Services Cloud and Experience Cloud features, implement robust integrations with logging/retries, ensure test coverage and performance, support SFDX/Unlocked Packages CI/CD, and participate in Agile ceremonies.

Design scalable, secure Salesforce solutions translating business needs into technical designs across data, security, automation, integrations, and UX. Provide design reviews, documentation, and guidance to delivery teams while collaborating with stakeholders and recommending declarative vs custom approaches.

Lead and govern end-to-end Salesforce platform architecture across multi-org environments. Define org strategy, security, data and integration architectures, Experience Cloud and FSC designs, enterprise DevOps standards, and development automation. Mentor engineers, run design reviews, enforce compliance and scalability, and serve as technical escalation for large regulated enterprises.

Provide on-site consulting for a Generative AI platform, working Eastern Time hours. Collaborate with stakeholders, implement or support platform usage, and communicate effectively with teams and clients.

Lead architecture and implementation of enterprise Adobe Experience Platform solutions, including data ingestion, identity resolution, XDM modeling, Web SDK event collection, and Real-Time Customer Profile. Design and operationalize customer journeys and real-time activations in Adobe Journey Optimizer, integrate AEP with downstream systems (CJA, activation platforms), lead solution design/PoCs, and collaborate with analytics, engineering, and marketing teams to build reusable frameworks and govern platform data quality.

The BPM Technical Architect is responsible for Appian BPM implementations, integrating external systems, and ensuring optimal application design and functionality.

Provide escalation support for messaging and mobile environments: triage, investigate, and resolve user issues via email/phone/ITSM; coordinate with attorneys, vendors, Architecture, and Security teams; execute and document production changes; drive platform improvements and maintain email/mobile security.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

Lead modernization of an investment accounting platform from COBOL/Sybase to a Java/Photon architecture. Define migration strategy and data mapping, establish automation and AI-assisted code-translation pipelines (Devin, Blitzy), design Java microservices/APIs, implement automated dual-run validation for functional parity, and serve as onsite technical lead for multiple global agile PODs.

Lead design and implementation of large-scale data platforms and pipelines using Redshift, ADF, Hadoop/Hive, Spark/Scala, Snowflake, Databricks, and GCP. Drive architecture decisions, performance tuning, and best practices for big data processing and storage.

Design, build, and maintain large-scale data pipelines and ETL/ELT processes using Redshift, Azure Data Factory, Hadoop/Hive, Spark/Databricks, and Snowflake on cloud platforms (GCP). Implement Scala-based data processing, optimize performance, and support analytics and data warehousing needs.

Senior Data Engineer responsible for Snowflake-based cloud data platform design, building data pipelines, integrations (batch/event/near-real-time), API integration, ensuring CI/CD and operational support, applying security best practices and IaC, and collaborating in Agile teams.

Serve as a Workday functional SME for Finance and HR: gather client requirements, configure Workday Financials and HR modules, conduct testing and UAT, lead training, provide post-implementation support, perform fit-gap analysis and change management, document solutions, and collaborate on integrations and project delivery.

Design, develop and implement ServiceNow solutions across ITSM, CMDB, Service Portal and integrations. Build scripts, REST/SOAP APIs, flow designers, MID Server and discovery/service-mapping use cases. Implement SSO/LDAP, performance analytics, orchestration and custom applications while applying ServiceNow best practices and providing configuration recommendations.

Gather and analyze business requirements; translate them into JIRA user stories with Gherkin acceptance criteria; perform SQL data analysis; create data flow and process diagrams; support UAT and testing, track defects, validate fixes; collaborate with stakeholders and identify process improvements.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

Lead design and implementation of Snowflake-based data architectures; serve as primary Snowflake POC. Design performant Snowflake solutions (data sharing, clean rooms, virtual warehouses, micro-partitions, zero-copy clone, time travel, resource monitors, security). Tune SQL and queries. Work with data virtualization (Starburst, Denodo), Hadoop ecosystem, and build data lakes on Cloudera Data Platform. Strong written and verbal communication.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.

Lead end-to-end implementations, migrations, upgrades, and module rollouts of FIS Investran for private equity/alternative investment clients. Configure Investran modules, design integrations and ETL/SQL data pipelines, build custom reports (SSRS, Power BI, Tableau), perform UAT, support upgrades and go-live, provide Level 2/3 production support, and maintain documentation and SOX/GAAP/IFRS compliance.