Technical Lead, Data Analytics at Arkatechture
Portland, ME
$100,000–$140,000
Jul 19, 2026
Portland, ME
Jul 20, 2026
What this job asks for AI summary
A hands-on technical leadership role within a data analytics support team, focused on resolving complex customer issues across SQL, cloud data platforms, and BI tools such as Tableau and Power BI. The position involves root cause analysis, optimizing data pipelines and ELT processes, mentoring analysts, and acting as a senior technical partner to enterprise customers. Suits an experienced data professional with deep SQL expertise and a background in cloud data warehousing.
Senior level · 6+ years · Remote · Full-time
Pay in the description: $100,000–$140,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,600 people nationally plausibly meet what this posting asks for (data scientists). range 950–2,850
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The title 'Technical Lead' carries no explicit seniority level word (Junior/Mid/Senior/Staff/Principal), so the title states no level; the 6+ years requirement and senior technical expert scope support a Senior classification.
SOC classification is Medium confidence: the role is primarily a hands-on BI/analytics support and data platform expert (SQL, Snowflake, Tableau, ELT troubleshooting), which fits 15-2031 (Operations Research Analysts / BI-oriented data analysts). The runner-up is 15-1243 (Database Architects) given the data warehouse design and cloud platform architecture responsibilities.
Snowflake is listed first among a set of interchangeable cloud data platforms ('Snowflake, Databricks, SQL Server, Oracle, Redshift, Synapse, BigQuery, or similar'); all named alternatives are captured in the alternatives array.
Tableau and Power BI are listed together as a single requirement ('Experience with Tableau and Power BI'); Tableau is the primary name and Power BI is captured as an alternative since the JD treats them as a paired, interchangeable BI tool requirement rather than two distinct hard gates.
Jira, Confluence, and Bitbucket are listed together under 'Agile development practices and tools such as Jira, Confluence, and Bitbucket' — the 'such as' qualifier means the specific tools are interchangeable examples; Jira is the primary with the others as alternatives.
Python, AWS, and AI/ML appear under an explicit 'Experience with any of the following is a plus' section and are marked as preferred accordingly.
Financial services / banking domain knowledge and data governance also appear under the 'plus' section but name no specific technology or tool, so they are omitted per extraction rules.
No formal degree requirement is stated anywhere in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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