Data Architect, Data Center Digital Infrastructure

Data architect, dc digital infrastructure page is loaded## data architect, dc digital infrastructurelocations:
dallas, tx:
spartanburg, sctime type:
full time posted on:
posted yesterday job requisition :
r12732
** the company
** northmark strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value.our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies.

Our values are integrity, ability, and energy, and the company aims to hire individuals who possess those qualities.at northmark strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure.
** the position
** we are seeking an experienced data architect to own the data strategy, architecture, and governance of the data platform underpinning our next-generation data center. This role is key in structuring, securing, and optimizing the data flows from ot/it systems, sensors, and business platforms into a unified, analytics and ai-ready data environment. This role will work closely with the digital architect, with a focus in systems integration, to deliver a seamless digital and data ecosystem.
** responsibilities:
*** own the end-to-end data architecture for operational and business datasets, including ot telemetry, iot sensor data, asset performance metrics, and other kpis.
* design and maintain the enterprise data model, ensuring consistency across disparate systems (bms, epms, cmms, erp, etc).
* define and oversee data ingestion and transformation pipelines for both real-time and batch processing.
* architect and manage cloud-based data infrastructure (e.g., aws glue, gcp dataflow, azure synapse) to ensure scalability and reliability.
* select, implement and optimise time-series, relational, and analytical data platforms (e.g., influxdb, snowflake, bigquery).
* establish data lake and/or lakehouse architecture for scalable, flexible storage and analytics.
* define and enforce data governance policies, including access control, data retention, and regulatory compliance.
* implement and maintain data quality, lineage, and metadata management frameworks.
* deploy and manage data cataloging tools to support data discoverability, self-service analytics, and compliance.
* evaluate and pilot emerging tools and platforms to continuously improve data infrastructure and support innovation initiatives.
* define api and integration standards for all consuming/producing systems.
* collaborate with security teams to design secure data architectures and implement role-based access controls (rbac).
* define and manage versioning and lifecycle policies for data models, schemas, and apis across environments.
* collaborate cross-functionally to deliver high-quality, trusted datasets to power predictive analytics, simulation, digital twin initiatives, and business reporting.
** requirements:
*** bachelor’s or master’s in computer science, data engineering, or related field.
* 7+ years of data architecture or data engineering experience in mission-critical or industrial environments (data centers, manufacturing, smart buildings, energy systems).
* experience in data modeling and data governance frameworks.
* experience designing and implementing time-series data platforms and streaming architectures.
* expertise in etl/elt tools and modern data stack tools (e.g., dbt, kafka, spark, airflow) and platforms such as snowflake, bigquery, databricks, etc
* familiarity with ot/iot protocols (bacnet, modbus, opc-ua) and integrating operational data into it systems.
* strong knowledge of cloud-native analytics platforms (aws, gcp, azure) and edge data processing strategies.
*…