TA Instruments · 1 day ago
Principal Data Engineer
01757
Full-time
Hybrid
Senior Level, Lead/Staff
7+ years expTA Instruments is a global leader in analytical instruments and software, and they are seeking a Principal Data Engineer to lead the architecture, development, and optimization of scalable data solutions. This role will focus on end-to-end data engineering, enabling high-quality analytics and shaping the Commercial Excellence data and reporting foundation.
ElectronicsManufacturing
Responsibilities
Design, develop, and maintain scalable data pipelines across SAP S/4 Salesforce, Marketo, Adobe Analytics, and other core enterprise systems
Architect and implement data models in Databricks, Synapse or similar platforms
Build ingestion frameworks, transformation logic, and orchestration workflows (e.g., Azure Data Factory, Databricks Jobs)
Implement data quality, validation, and monitoring frameworks; codify tests and SLAs for critical datasets
Lead development of enterprise‑grade semantic models and reusable data assets supporting Sales, Marketing and Finance
Partner with IT, Master Data, and Process Excellence teams to align data structures with evolving enterprise process designs (Lead to Cash, Demand Gen, Customer Master, Pricing)
Engineer performant Power BI datasets, dataflows, and semantic models; define and maintain measures (DAX), calculation logic, and row‑level security where required
Design and build prioritized enterprise dashboards and paginated reports in Power BI, partnering with business stakeholders on UX, KPIs, and adoption
Establish standards for dataset refresh, parameterization, gateway configuration, and workspace governance; resolve performance bottlenecks (model size, query folding, DAX)
Enable self‑service by publishing certified datasets and patterns; review community reports for conformance and reliability
Deliver integrated data models for process mining and operational analytics (e.g., Lead→Opportunity→Order→Invoice)
Drive alignment on data definitions, lineage, ownership, and governance across stakeholders; document lineage and critical data elements
Mentor engineers and analysts; champion code reviews, version control, and deployment automation
Qualification
Required
7+ years in data engineering, data architecture, or analytics engineering roles
Expert‑level SQL and Python with a strong understanding of data warehousing principles and dimensional modeling
Hands‑on with Databricks/Spark (PySpark), and/or Azure Synapse; experience orchestrating with ADF or equivalent
Proven experience engineering data for Power BI and developing production dashboards (DAX, Power Query, dataflows)
Experience with SAP, Salesforce, Marketo, or other enterprise operational systems
Strong grasp of data quality, lineage, governance frameworks, and master data concepts (customer, product, pricing)
Ability to partner effectively with technical and business stakeholders in a global matrixed environment
Preferred
Experience in Commercial Excellence, Revenue Operations, Sales Operations, or Finance
Familiarity with process mining (Celonis) and event‑based data models
DevOps for data: Git, CI/CD, environment promotion, automated testing
Experience with privacy/compliance and secure data design (RLS, PII handling)
Company
TA Instruments
TA Instruments reputation for high technology products and quality manufacturing.
501-1000 employees
H1B Sponsorship
TA Instruments has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (2)
2023 (3)
2022 (2)
2021 (5)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown1996-03-30Acquired
Recent News
2025-07-07
2025-07-04
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