Jobs at Dynata

Designs, builds, and maintains scalable batch and streaming data pipelines, lakehouse architectures, transformation layers, and data models. Develops PySpark and SQL solutions, integrates diverse data sources, implements data quality monitoring, and manages infrastructure as code. The role also troubleshoots performance and pipeline incidents, participates in code reviews, collaborates with architects, and mentors junior and mid-level data engineers.

Build and maintain CI/CD pipelines, infrastructure automation, Kubernetes-based data platform environments, and observability tooling. Manage Terraform and Helm deployments, cloud cost optimization, provisioning, policy enforcement, incident response, capacity planning, and operational documentation. Collaborate with data engineering and security teams to improve reliability, scalability, compliance, and engineering productivity across enterprise lakehouse platforms.

Deploys, operates, and extends LinkedIn DataHub across cloud and on-premises environments. Integrates lakehouse and BI platforms, manages metadata ingestion, builds lineage graphs, implements classification and stewardship workflows, and develops custom plugins and APIs. The role also monitors platform performance, translates governance policies into controls, and trains data stewards and consumers.

Design and implement enterprise data quality frameworks for lakehouse platforms. Build automated validation tests, dashboards, anomaly detection, observability solutions, and CI/CD quality checks. Manage data quality SLAs, profile new sources, resolve incidents, collaborate with governance and source owners, and educate engineering and product teams on quality standards.

Designs, builds, and maintains enterprise lakehouse data pipelines, transformation layers, and data models. Develops scalable batch and streaming solutions using Spark, Kafka, and Flink; implements medallion architecture, data quality monitoring, and infrastructure as code. Troubleshoots performance and data incidents, participates in code reviews, collaborates on data modeling, and mentors junior and mid-level engineers.

Owns the lifecycle, roadmap, and delivery of data products on a lakehouse platform. Defines requirements, schemas, SLAs, access controls, documentation, and KPIs; manages catalogs and metadata; leads sprint planning, backlog grooming, capacity, and releases; and coordinates with data engineering, governance, security, and compliance teams to ensure quality, adoption, discoverability, and business value.

Leads information security, data privacy, and regulatory compliance for an enterprise data lakehouse platform. Defines access controls, encryption, classification, and security frameworks; manages risk assessments, threat modeling, vulnerability testing, audits, incident response, and remediation. Partners with engineering teams to embed controls into CI/CD and data workflows, maintains compliance evidence, and trains teams on secure data handling.

Lead the strategy, roadmap, development, and adoption of Dynata’s enterprise data platform and lakehouse ecosystem. Prioritize platform-enabled use cases, align investments with business value, oversee implementation with engineering and data teams, establish governance and success metrics, and drive stakeholder adoption. Initially hands-on, the role will later build and scale a product management organization while partnering with executives, vendors, and cross-functional teams.

Designs and delivers practical AI learning programs, workshops, office hours, job aids, prompt guides, and role-based enablement resources. Supports adoption of Claude, Microsoft Copilot, Perplexity, and other approved tools by teaching prompt writing, output review, responsible use, and human oversight. Partners with HR, Technology, Legal, Information Security, Communications, and business stakeholders to coordinate programs, facilitate sessions, measure participation and adoption, and continuously improve learning content.

Manage employee engagement, talent management, and performance reviews. Lead HR systems implementation and process improvements. Ensure labor law and benefits compliance. Provide administrative support to HR and HR ops teams.

The Account Coordinator facilitates the bid process, develops pricing proposals, manages client relationships, and supports project delivery efforts.

Senior engineering leader responsible for architecture, delivery, operations, reliability, and scalability of the enterprise Data Lakehouse. Leads cross-functional teams, defines platform SLAs, cost and quality targets, drives platform adoption and best practices, manages vendor/cloud relationships, ensures regulatory and data security compliance, and enables self-service analytics and AI/ML platform enablement.

Process accounts payable including PO/invoice matching and invoice entry, upload payments to bank, maintain vendor/customer and banking records, resolve vendor and purchaser discrepancies, process employee claims, assist month-end closing, and ensure GST/TDS compliance. Perform other ad-hoc accounting duties as required.

Support sales by qualifying RFPs, writing proposals, developing pricing, updating CRM, assisting account and sales directors, supporting project delivery, and meeting clients as needed.

Support the bid and proposal process by qualifying RFPs, writing proposals, developing pricing, and maintaining CRM. Collaborate with Account Managers/Directors to grow client relationships, assist during project delivery, source partners, and support sales presentations.

Provide full-spectrum HR generalist support and talent initiatives across APAC, advising management, ensuring compliance with local labor laws, handling performance management, resolving complex employee relations, conducting investigations, and improving workplace morale and retention.

Lead and coordinate the Agile Release Train to ensure synchronized quarterly delivery. Facilitate PI Planning and all cross-team ceremonies, manage dependencies, drive program-level continuous improvement, report ART health and metrics, coach ART roles on SAFe, and ensure documentation, compliance, and predictable delivery of business value each Program Increment.

Lead and coordinate the Agile Release Train to ensure predictable delivery of business value. Facilitate PI Planning and ART ceremonies, manage the Program Board, coach ART roles, track metrics (Predictability, Flow, Business Value), resolve cross-team dependencies and impediments, drive continuous improvement, and report ART health to Chapter leadership.

Own and deliver quantitative online and digital market research projects end-to-end. Manage stakeholders, budgets, timelines, vendors and internal teams; ensure survey quality and methodology, mentor junior staff, support sales for repeat business, and handle complex/multi-method projects and escalations.

Partner with APAC business units and sales to produce monthly revenue and P&L reporting, lead budgeting and forecasting, build financial models and presentations, validate new systems (CRM/D365), identify cost savings and risks, support audits and controls, and provide strategic financial insight to senior stakeholders.