Project Manager III-US

eTeam

Waltham (MA)

Remote

USD 180,000 - 240,000

Full time

20 hours ago
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Job summary

eTeam seeks a Lead Data Architect to own the Gas Data platform architecture, roadmap, and governance for a major data modernization effort. You will drive Snowflake-based design, data modeling, and scalable ingestion patterns while ensuring compliance and cost efficiency.

Lead migration strategies, establish data standards, and partner with stakeholders to deliver trusted data products for NY and NE gas value streams. This role emphasizes architecture artefacts and regulatory considerations.

Qualifications

  • 10+ years in data and analytics roles, incl. 5+ years in a data architecture role on enterprise-scale platforms.
  • End-to-end legacy-to-modern platform migration carried through to decommissioning the source system.
  • Deep, hands-on architecture experience with a cloud data platform; Snowflake strongly preferred, incl. warehouse/lakehouse layering, workload design, performance tuning and cost characteristics.
  • Strong SQL and dimensional/analytical data modelling.
  • Experience designing ingestion and integration patterns across batch, streaming, file-based and API sources, including third‑party data.
  • Experience designing API and data-service patterns for operational and analytical consumers.
  • Proven track record of data governance, data quality, lineage and observability by design.
  • Working knowledge of access control, data masking, retention and audit in a regulated environment.
  • Python and modern data engineering tooling; IaC and CI/CD applied to data pipelines.
  • Architecture artefacts that are used – data models, reference architectures, decision records, standards and design reviews.

Responsibilities

  • Produce and maintain the Gas Data platform target-state architecture and the technical roadmap to evolve data and AI capabilities.
  • Set modelling and layering standards, including Medallion architecture considerations.
  • Run design reviews and document the reasoning behind trade-offs.
  • Ensure compliance to data masking requirements.
  • Maintain the Gas Data Model to reflect business-defined data objects.
  • Complete the technical plan for data migration and drive it to closure.
  • Define the decommissioning value case in technical terms.
  • Design reusable ingestion, API and service patterns for new sources and consumers.
  • Establish onboarding patterns with licensing, refresh and quality controls; reduce manual transfers.
  • Provide the technical view into Data Governance Council on standards and risk.

Skills

Snowflake
Data architecture
Data modelling
SQL
Python
CI/CD
Data governance
Data masking
API patterns
Ingestion patterns

Tools

Snowflake
Cloud data platform

Job description

Title: Lead Data Architect

Location: Remote (but needs to be in MA)

Duration: 12 months

Job Purpose

The Lead Data Architect owns the technical target state for Gas data platform and the sequenced technical roadmap to achieve it. The role defines the Gas Data platform architecture, migration strategy and data standards that turn a legacy-to-modern migration into a durable, governed capability – enabling NY and NE Gas value streams to access trusted data, consume reusable data products, and operate safely at lower cost.

3. Key responsibilities
  • 1. Snowflake hands on experience and platform expertise
  • 2. Data architecture experience
  • 3.Data Modeling experience
Define and hold the target state
  • Produce and maintain the Gas Data platform target-state architecture and the technical roadmap to evolve data and AI capabilities.
  • Set modelling and layering standards, including the Medallion architecture where the Gold/Curated Data layer is genuinely required versus where raw data plus report-level SQL and establish faster, cheaper path to business value. Prevent over-engineering of the Curated Data Layer ahead of demonstrated need.
  • Run design review for significant changes; make the call when there is a trade-off between speed, performance and durability, and document the reasoning.
  • Ensure compliance to all data masking business requirements
  • Maintain the Gas Data Model to reflect business defined, abstract data objects in the Gold/Curated Data Layer
Own the migration strategy
  • Complete the technical plan data migration and drive it to closure, including the incremental report migration approach and the ODS decommissioning path.
  • Build the formal legacy application data migration strategy, segmenting applications into: - historical, live-feed-until-sunset, feature-parity replacement, and security-priority. Sequence by business value, dependency complexity and data residency need.
  • Define the decommissioning value case in technical terms – what is retired, when, and what cost and risk that removes.
Architect the data services layer
  • Design reusable ingestion, API and service patterns so new sources and consumers follow a known route rather than a bespoke build.
  • Establish the third-party and external data onboarding pattern, including licensing, refresh and quality controls, and playbooks for priority sources.
  • Reduce manual file transfers and spreadsheet-based processes through automated, monitored ingestion.
Make quality and control structural
  • Architect DQ measurement into the platform: completeness, freshness, lineage, exception capture and issue resolution routing.
  • Design access, masking, retention and audit patterns that let business users self-serve safely.
  • Provide the technical view into the Data Governance Council on standards, certification criteria and risk.
Required Qualifications
Required experience
  • [10] years in data and analytics roles, including [5] years in a data architecture role on enterprise-scale platforms.
  • At least one end-to-end legacy-to-modern platform migration carried through to decommissioning of the source system – not a parallel build left running.
  • Deep, hands‑on architecture experience with a cloud data platform; Snowflake strongly preferred, including warehouse/lakehouse layering, workload design, performance tuning and consumption cost characteristics.
  • Strong SQL and dimensional/analytical data modelling, at a level sufficient to review and improve the designs of engineers in the team.
  • Experience designing ingestion and integration patterns across batch, streaming, file-based and API sources, including third‑party and vendor‑supplied data.
  • Experience designing API and data‑service patterns serving both operational and analytical consumers.
  • Demonstrated track record of building data governance, data quality, lineage and observability into a platform by design rather than reporting on it retrospectively.
  • Working knowledge of access control, role design, data masking, retention and audit requirements in a regulated environment.
  • Python and modern data engineering tooling; infrastructure‑as‑code and CI/CD applied to data pipelines.
  • Experience producing architecture artefacts that are actually used – data models, reference architectures, decision records, standards and design reviews – and governing adherence to them without becoming a delivery bottleneck.
  • Proven ability to communicate architecture, sequencing and trade‑offs in business, cost and risk terms to senior non‑technical stakeholders.
Preferred experience
  • Utility, energy or other regulated infrastructure sector experience; familiarity with gas asset, GIS, field operations, compliance or metering data domains.
  • Exposure to rate case, regulatory funding or capital planning cycles, and to building the technical evidence base that supports them.
  • Experience operating a data product or data mesh model – catalogs, data contracts, SLAs, certification and federated governance.
  • Geospatial data experience, including conflation and spatial data quality.
  • Experience with cloud cost and consumption governance, including chargeback or show back models.
  • Experience mentoring or technically leading data engineers and analytics engineers.

To meet the growing data management demand on Gas IT&D in support of major programs — we are expanding the team, and the hiring of lead data architect role is part of this effort.

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